<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://www.na-mic.org/w/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Fletcher</id>
	<title>NAMIC Wiki - User contributions [en]</title>
	<link rel="self" type="application/atom+xml" href="https://www.na-mic.org/w/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Fletcher"/>
	<link rel="alternate" type="text/html" href="https://www.na-mic.org/wiki/Special:Contributions/Fletcher"/>
	<updated>2026-05-14T07:53:03Z</updated>
	<subtitle>User contributions</subtitle>
	<generator>MediaWiki 1.33.0</generator>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Lainhart_NAMIC_AHM2010.ppt&amp;diff=47223</id>
		<title>File:Lainhart NAMIC AHM2010.ppt</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Lainhart_NAMIC_AHM2010.ppt&amp;diff=47223"/>
		<updated>2010-01-06T19:06:38Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=AHM_2010&amp;diff=47222</id>
		<title>AHM 2010</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=AHM_2010&amp;diff=47222"/>
		<updated>2010-01-06T19:05:29Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; __NOTOC__&lt;br /&gt;
== Introduction ==&lt;br /&gt;
{| border=&amp;quot;00&amp;quot; cellpadding=&amp;quot;8&amp;quot; cellspacing=&amp;quot;0&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| rowspan=&amp;quot;2&amp;quot; align=&amp;quot;left&amp;quot; | '''This is the home page for the 2010 NA-MIC all hands meeting (AHM).''' NA-MIC participants meet for a AHM once a year. The purpose of the AHM is to coordinate, discuss plans and report to NIH officers and the external advisory board (EAB). The external advisory board meets with the NA-MIC leadership immediately after the AHM. In parallel, NA-MIC is organizing a project week. These events, with the exception of the EAB meeting, are open to collaborators and potential collaborators.&lt;br /&gt;
&lt;br /&gt;
For more information about the project weeks in general, click [[Engineering:Programming_Events|'''here''']]. &lt;br /&gt;
&lt;br /&gt;
For information about the January 2010 project week, see below or click [[2010_Winter_Project_Week|'''here''']].&lt;br /&gt;
&lt;br /&gt;
For information about Utah as a travel destination click [http://www.utah.com '''here'''].&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot;  align=&amp;quot;center&amp;quot;| [[Image:SLC.jpg|center|350px|View of the City]]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot;|The 2010 AHM, EAB and Project Week will be held &amp;lt;br&amp;gt;'''January 4-8 2010''', in '''Salt Lake City''', Utah.  &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Agenda==&lt;br /&gt;
&lt;br /&gt;
'''wireless connection: Select hotel wireless network - this gets you a non-secure line - Start your web browser, enter services.globalsuite.net in the address bar - Location is Capital Ball Room, group is Utah, passcode is Utah, both are case sensitive.  If you have trouble, ask Deb or another attendee for help'''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#ebeced; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Time'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Monday, January 4''' &lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Tuesday, January 5'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Wednesday, January 6''' &lt;br /&gt;
| style=&amp;quot;width:32%&amp;quot; | '''Thursday, January 7 '''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Friday, January 8''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;| '''[[2010_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;| '''[[2010_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;| '''[[2010_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:#522200&amp;quot;| '''AHM''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/Capitol A-B], [[2010_EAB|'''EAB''']] in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Olympus B]&lt;br /&gt;
'''[[2010_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Olympus A]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;|'''[[2010_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''7:30-8:00''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|  &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Breakfast&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|'''9:30''' Core 1 and 2 PI closed session in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol A]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; '''8:00-8:30''' [[AHM2010:NA-MIC Kit Update| NA-MIC Kit Update]] (Jim Miller, Steve Pieper)&amp;lt;br&amp;gt; &lt;br /&gt;
'''8:30-10:00''' [[AHM2010:QtTutorial#Qt_tutorial|Qt Tutorial]] (Julien Finet)&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;'''8:00-9:00''' [[AHM2010:Tutorial Contest|Tutorial Contest]] [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
'''9:00-10:00''' [[AHM2010:AnnotationBreakout| Slicer Annotation Breakout (Kilian Pohl) ]] (Capital Ballroom A) &lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|'''8:00''' [[AHM 2010 Introduction|Introduction]], [http://www.spl.harvard.edu/~kikinis Ron Kikinis] &amp;lt;br&amp;gt;&lt;br /&gt;
'''8:05''' [[AHM 2010 NA-MIC Highlights|NA-MIC Highlights]] ([http://www.cs.utah.edu/~whitaker/ Ross Whitaker])&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:20''' [[Media:2010_NAMICAHM_StynerValidation.ppt‎  |Validation]] ([http://www.cs.unc.edu/~styner/ Martin Styner])&amp;lt;br&amp;gt;&lt;br /&gt;
'''Roadmap Projects'''&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:35''': [[AHM2010:JHU|JHU/Queens]] ([http://research.cs.queensu.ca/~gabor/ Gabor Fichtinger])&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:55''': [[AHM2010:UNC|UNC]] ([http://www.med.unc.edu/psych/directories/faculty/hazlett/ Heather Cody])&amp;lt;br&amp;gt;&lt;br /&gt;
'''9:15''': [[AHM2010:PNL|PNL]] ([http://pnl.bwh.harvard.edu/people/profiles/kubicki.html Marek Kubicki])&amp;lt;br&amp;gt;&lt;br /&gt;
'''9.35''': [[AHM2010:Mind|Mind Institute]] ([http://www.mrn.org/principle-investigators/h.-jeremy-bockholt.html Jeremy Bockolt])&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''10:00-10:30''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;| Core 1 and 2 PI closed session&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| '''10:00''' Project Review&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''10:30-12:00''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;| Core 1 and 2 PI closed session&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
'''10:30-11:30'''[[2010_Winter_Project_Week_Slicer_Dashboard|Test We Must]] (Luis)&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:30-12:30'''[[AHM_2010_Tutorial_Polishing|Tutorial Polishing]] (Stuart Wallace, Sonia, Randy) &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''10:30-11:30'''[[2010_Winter_Project_Week_DTI_Breakout_Session|DTI Breakout Session]] (Sonia Pujol, Lauren O'Donnell)&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|&lt;br /&gt;
'''Collaborations'''&amp;lt;br&amp;gt;&lt;br /&gt;
'''10:30''': Iowa  ([http://www.engineering.uiowa.edu/faculty-staff/profile-directory/bme/grosland_n.php Nicole Grosland])&amp;lt;br&amp;gt;&lt;br /&gt;
'''10:40''': [[Media:NAMIC External-Wyatt2010.ppt|Wake Forest]]  ([http://www.ece.vt.edu/faculty/wyatt.html Chris Wyatt])&amp;lt;br&amp;gt;&lt;br /&gt;
'''10:50''': [[Media:NA-MIC_Cleary_RF_Ablation_Georgetown_Jan_2010.pdf|Georgetown]]  ([http://www.isis.georgetown.edu/PORTALVBVS/DesktopDefault.aspx?tabindex=2&amp;amp;tabid=8 Kevin Cleary])&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:00''':  [[Media:NAMIC-Shen-2010-01-07.ppt|UNC]] &lt;br /&gt;
([http://www.med.unc.edu/~dgshen Dinggang Shen])&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:10''': JHU ([http://iacl.ece.jhu.edu/~prince/ Jerry Prince])&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:20''': MGH (Hiroyuki Yoshida)&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:30''': [[media:Miller-NCBC.pdf|JHU]] (Michael Miller) &amp;lt;br&amp;gt;&lt;br /&gt;
'''11:40''': [[media:Lainhart_NAMIC_AHM2010.ppt|Utah]] (Janet Lainhart) &amp;lt;br&amp;gt;&lt;br /&gt;
'''11:50''': BWH (Raul San Jose) &amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Lunch &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Lunch&amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Adjourn &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''1:00-3:00''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|[[2010_Winter_Project_Week|Begin Project Activities]]: '''2:00''' Introduce Projects and Participants &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|'''1:00-2:00''' [[AHM2010:RegistrationBreakout|Registration Breakout (Dominik, Casey)]] &amp;lt;br&amp;gt; in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/Amethyst Amethyst 1]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work (Capital Ballroom A) &amp;lt;br&amp;gt;  '''2:00-3:00''' Grid Wizard Tutorial (Marco Ruiz) &lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|&lt;br /&gt;
'''Tools and Tutorials''' &amp;lt;br&amp;gt;&lt;br /&gt;
'''1:00-1:20''' [[AHM2010:Slicer|Slicer]] ([http://www.spl.harvard.edu/~pieper Steve Pieper])&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:20-1:40''' [[AHM2010:Plug-ins|Interfacing with Slicer]] ([http://wiki.na-mic.org/Wiki/index.php/User:Millerjv Jim Miller])&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:40-2:00''' [[AHM2010:Non-interactive-tools|Non-interactive tools]] ([http://www.kitware.com/company/team/aylward.html Stephen Aylward])&amp;lt;br&amp;gt;&lt;br /&gt;
'''2:00-2:30''' Training Core &amp;amp; DTI Tractography Validation Update ([http://lmi.bwh.harvard.edu/~spujol/ Sonia Pujol]) &amp;lt;br&amp;gt;&lt;br /&gt;
'''2:30-3:00''' [[AHM2010:Tutorial-Contest-Winners|Tutorial Contest]]: Presentations by the winners ([http://www.nmr.mgh.harvard.edu/martinos/people/showPerson.php?people_id=64 Randy Gollub])&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''3:00-3:30''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''3:00-5:00''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|'''3:30-4:30''' [[AHM2010:QtTutorial#Qt_technical_workshop|Qt Workshop]] (Julien Finet) &amp;lt;br&amp;gt; Project Work &amp;lt;br&amp;gt;[http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;'''3:00-5:00''' [[AHM2010:SlicerHandson|Slicer Hands-on with Ron]]&amp;lt;br&amp;gt;Breakout&amp;lt;br&amp;gt;[http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|[[2010_EAB|EAB]]&amp;lt;br&amp;gt;[http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Olympus B]&amp;lt;br&amp;gt;'''3:00-4:00''' Discussion with NA-MIC Leadership&amp;lt;br&amp;gt; '''4:00-5:00''' Closed Session&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|'''05:00-06:00''' Breakout(Capital Ballroom A)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|'''6:00''' Optional: [http://www.skisaltlake.com/murphys.htm Beer at Murphy's] (like last year)&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;| &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Please note that there will be a Core 1&amp;amp;2 Site PI Retreat on the morning of Monday, January 4th. This is a closed session for Core 1&amp;amp;2 Site PIs, with no delegates. The topic is the competitive renewal.&lt;br /&gt;
&lt;br /&gt;
== Dates Venue Registration ==&lt;br /&gt;
'''Dates:'''&lt;br /&gt;
* The All Hands Meeting and External Advisory Board Meeting will be held on '''Thursday, January 7th'''.  &lt;br /&gt;
* Project Activities will be held rest of the week between '''Monday, January 4th and Friday, January 8th'''.&lt;br /&gt;
&lt;br /&gt;
'''Venue:''' The venue for the meeting is [http://www.marriott.com/hotels/travel/slccc-salt-lake-city-marriott-city-center/ Marriott City Center, Salt Lake City, Utah] Marriott City Center, Salt Lake City, Utah. [http://marriott.com/property/meetingsandevents/floorplans/slccc (Floorplan)]. Please either call the hotel at +1-877-905-4491 (toll free) or book online at http://www.marriott.com/hotels/travel/slccc-salt-lake-city-marriott-city-center/?toDate=1/8/10&amp;amp;groupCode=NAMNAMA&amp;amp;fromDate=1/3/10&amp;amp;app=resvlink'''by December 14, 2009''' using the code NAMNAMA to get rooms at $139/night. Please note that we do need attendees to use this hotel in order to not incur additional charges for the use of conference rooms.  Please also note that the room rate without the code is ~$200/night and we will not be able to help you get a discount if you don't book in time.&lt;br /&gt;
&lt;br /&gt;
'''Registration:''' We are charging a registration fee to all participants ($200 for AHM only, and $450 for AHM+). The fee covers the costs of the facilities and food provided. In order to keep the fee low, we need to get a sufficient number of hotel nights by our participants. See above for more on this. Please click http://www.sci.utah.edu/namic2010.html for online registration. This registration must be completed by December 12, 2009.&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''Connectivity'''&lt;br /&gt;
We have three wireless access points at the AHM. Two of them are located in the capital ballroom.  One is named capital-ballroom, the other is named capital-ballroom2.  If one access point doesn't let you connect it is probably overloaded.  In that case, please try connecting to the other one.&lt;br /&gt;
&lt;br /&gt;
== Attendees ==&lt;br /&gt;
&lt;br /&gt;
'''The registered attendee list will be posted here by the organizers.  DO NOT add your name to this list yourself.'''&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
#Ron Kikinis, BWH&lt;br /&gt;
#Katie Mastrogiacomo, BWH&lt;br /&gt;
#Sonia Pujol, BWH&lt;br /&gt;
#Nicole Aucoin, BWH&lt;br /&gt;
#Katie Hayes, BWH&lt;br /&gt;
#Lauren O'Donnell, BWH&lt;br /&gt;
#Sandy Wells, BWH&lt;br /&gt;
#Andrew Rausch, PNL&lt;br /&gt;
#Alexander Zaitsev, BWH&lt;br /&gt;
#Andriy Fedorov, BWH&lt;br /&gt;
#Raul San Jose Estepar, BWH (AHM only)&lt;br /&gt;
#Wendy Plesniak, BWH&lt;br /&gt;
#Peter Savadjiev, BWH&lt;br /&gt;
#Petter Risholm, BWH&lt;br /&gt;
#Dominik Meier, BWH&lt;br /&gt;
#Junichi Tokuda, BWH&lt;br /&gt;
#Scott Hoge, BWH&lt;br /&gt;
#Ben Schwartz, BWH&lt;br /&gt;
#Marek Kubicki, BWH&lt;br /&gt;
#Sylvain Bouix, BWH&lt;br /&gt;
#James Malcolm, BWH&lt;br /&gt;
#James Ross, BWH (AHM only)&lt;br /&gt;
#Daniel Haehn, BWH&lt;br /&gt;
#Sandy Napel, EAB (AHM only)&lt;br /&gt;
#Bill Lorensen, EAB&lt;br /&gt;
#Fred Prior, EAB (AHM only)&lt;br /&gt;
#Chris Johnson, EAB&lt;br /&gt;
#Godfrey Pearlson, EAB (AHM only)&lt;br /&gt;
#Morry Blumenfeld, EAB (AHM only)&lt;br /&gt;
#Kevin Cleary, Georgetown (AHM only)&lt;br /&gt;
#Heather Hazlett, UNC (AHM only)&lt;br /&gt;
#Chris Wyatt, Virginia Tech (AHM only)&lt;br /&gt;
#Gabor Fichtinger, Queens (AHM only)&lt;br /&gt;
#Zohara Cohen, NIBIB (AHM only)&lt;br /&gt;
#Yi Gao, Georgia Tech&lt;br /&gt;
#Sylvain Jaume, MIT CSAIL&lt;br /&gt;
#Vandana Mohan, Georgia Tech&lt;br /&gt;
#Min Chen, Johns Hopkins&lt;br /&gt;
#Deepika Mahalingam, UNC-Chapel Hill&lt;br /&gt;
#SUN HYUNG KIM, UNC at Chapel Hill&lt;br /&gt;
#Clement Vachet, UNC Chapel Hill&lt;br /&gt;
#Will Schroeder, Kitware&lt;br /&gt;
#Casey Goodlett, Kitware&lt;br /&gt;
#Yang Zhang, The University of Western Australia M050&lt;br /&gt;
#Corentin Hamel, UNC&lt;br /&gt;
#Martin	Styner, UNC&lt;br /&gt;
#Julien	Finet, Kitware Inc.&lt;br /&gt;
#LUIS IBANEZ, KITWARE Inc.&lt;br /&gt;
#Stephen Aylward, Kitware, Inc.&lt;br /&gt;
#Garrett Larson, UNC&lt;br /&gt;
#Steve Pieper, Isomics, Inc.&lt;br /&gt;
#Daniel Marcus, Washington University&lt;br /&gt;
#Curtis Lisle, KnowledgeVis, LLC&lt;br /&gt;
#Andras Lasso, Queens University&lt;br /&gt;
#GOPALKRISHNA VENI, University of Utah&lt;br /&gt;
#Hans Johnson, University of IowaPsychiatry&lt;br /&gt;
#Julien Jomier, Kitware Inc.&lt;br /&gt;
#Adam Wittek, The University of Western Australia M050&lt;br /&gt;
#alexandre gouaillard, CoSMo Software&lt;br /&gt;
#Kilian Pohl, IBM&lt;br /&gt;
#German	Cavelier, NIMHNIHDNBBS (AHM only)&lt;br /&gt;
#Jean-Christophe Fillion-Robin, Kitware Inc. (AHM only)&lt;br /&gt;
#Daniel	Blezek&lt;br /&gt;
#Arnaud	Gelas, Harvard Medical School&lt;br /&gt;
#Behnood Gholami, Georgia Tech&lt;br /&gt;
#Hans Johnson, University of Iowa Psychiatry&lt;br /&gt;
#Peter Karasev, Georgia Tech&lt;br /&gt;
#Ivan Kolesov, GaTech&lt;br /&gt;
#James Miller&lt;br /&gt;
#Timothy Olsen, Washington University STL	&lt;br /&gt;
#John Paulett, Washington University	&lt;br /&gt;
#Nicolas Rannou,Harvard Medical School&lt;br /&gt;
#Yundi Shi, UNC	&lt;br /&gt;
#Lydie Souhait, Harvard Medical School&lt;br /&gt;
#Duygu Tosun, UCSFCIND&lt;br /&gt;
#Alexander Yarmarkovich, Isomics&lt;br /&gt;
#Linda Krigbaum, National Library of Medicine (AHM only)&lt;br /&gt;
#Dinggang Shen, UNC-Chapel Hill&lt;br /&gt;
#Jeremy	Bockholt, The Mind Research Network&lt;br /&gt;
#Elvis Chen, Robarts Research Institute&lt;br /&gt;
#Michal	Depa, MIT&lt;br /&gt;
#James Fishbaugh, SCI Institute&lt;br /&gt;
#Guido Gerig, SCI Institute&lt;br /&gt;
#Nicole	Grosland, The University of Iowa, CCAD&lt;br /&gt;
#Nathan	Hageman, UCLA School of Medicine&lt;br /&gt;
#Xiaoxing Li, Virginia Tech&lt;br /&gt;
#Mahnaz	Maddah, General Electric Co.&lt;br /&gt;
#Vincent Magnotta, The University of Iowa, CCAD&lt;br /&gt;
#Harish Doddi, Stanford University&lt;br /&gt;
#bjoern	menze, CSAIL MIT&lt;br /&gt;
#Saikat	Pal, Stanford University&lt;br /&gt;
#Marcel	Prastawa, SCI Institute&lt;br /&gt;
#Andrzej Przybyszewski, UMASS&lt;br /&gt;
#Marco Ruiz, UCSD&lt;br /&gt;
#Mark Scully, The Mind Research Network&lt;br /&gt;
#Anuja Sharma, SCI Institute&lt;br /&gt;
#Gregory Sharp, MGH&lt;br /&gt;
#Xiaodong Tao, General Electric Co.&lt;br /&gt;
#Guorong Wu, UNC-Chapel Hill&lt;br /&gt;
#Minjeong Kim, UNC Chapel Hill	&lt;br /&gt;
#Josh Cates, SCI Institute&lt;br /&gt;
#Stuart Wallace, MGH&lt;br /&gt;
#Michael Ackerman, National Library of Medicine&lt;br /&gt;
#Yong Zhang&lt;br /&gt;
#Michael Miller, Johns Hopkins University&lt;br /&gt;
#Jerry Prince, Johns Hopkins University&lt;br /&gt;
#Ross Whitaker, SCI Institute&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
'''The registered attendee list will be posted here by the organizers. DO NOT add your name to this list yourself.'''&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2010_Winter_Project_Week_DTI_Breakout_Session&amp;diff=47155</id>
		<title>2010 Winter Project Week DTI Breakout Session</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2010_Winter_Project_Week_DTI_Breakout_Session&amp;diff=47155"/>
		<updated>2010-01-06T17:42:22Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Agenda&lt;br /&gt;
* Overview of the DTI analysis tools and activities within NA-MIC and NCIGT, discussion of ongoing DTI project developments in relationship to 3D Slicer tools&lt;br /&gt;
&lt;br /&gt;
* 10:30 am - 10:40 am: NA-MIC DTI Analysis Tools and Algorithms ( Sonia Pujol) &lt;br /&gt;
* 10:40 am - 10:55 am: Clinical Research Application Examples&lt;br /&gt;
** Neurosurgical Planning (Lauren O'Donnell) &lt;br /&gt;
** [[Media:Fletcher_NAMIC_AHM2010.ppt|Autism Research]] ( Tom Fletcher) &lt;br /&gt;
** [Media: DTI-Pop-Gerig.ppt‎ Population-based Analysis] (Guido Gerig) &lt;br /&gt;
* 10:55 am - 11:00 am Slicer Demo ( Alex Yarmakovitch)&lt;br /&gt;
* 11:00 am- 11:10 am: Winter 2010 DTI Projects Presentations&lt;br /&gt;
#[[ 2010_Winter_Project_Week_HARDI_RSH|Integration of Real Spherical Harmonic basis for HARDI models]] (Luke Bloy, C-F Westin)&lt;br /&gt;
#[[ 2010_Winter_Project_Week_Tractography|Filtered tractography]] (James Malcolm, Peter Savadjiev, Yogesh Rathi, C-F Westin, Casey Goodlett)&lt;br /&gt;
#[[ 2010_Winter_Project_Week_HARDI_CONNECTIVITY|Connectivity Study of Neonatal Brain Data using HARDI Techniques]] ( Yundi(Wendy) Shi, Deepika Mahalingam, Martin Styner )&lt;br /&gt;
#[[2010_Winter_Project_Week_TractographyPickingEditing|Tractography Picking and Bundle Editing]] (Jim Miller, Mahnaz Maddah, Nicole Aucoin, Wendy Plesniak, James Malcolm, Alex Yarmarkovich)&lt;br /&gt;
#[[ 2010_Winter_Project_Week_DTI_Fiber_Tract_Statistics|DTI Fiber-Tract Statistics]] (Anuja Sharma, Guido Gerig)&lt;br /&gt;
#[[ 2010_Winter_Project_Week_Tractography_using_DTI_Atlasing|Tractography using DTI Atlasing]] (Gopalkrishna Veni, Ross Whitaker, Sarang Joshi)&lt;br /&gt;
#[[2010_Winter_Project_Week_DTI_QualityControl|DTI Quality Control tools integration with NITRC]] (Hans Johnson, UNC)&lt;br /&gt;
#[[ 2010_Winter_Project_Week_Stochastic_Tractography|Stochastic Tractography module in Slicer 3.5 ]] (Andrew Rausch)&lt;br /&gt;
* 11:10 am - 11:30: Discussion ( Guido Gerig, Sonia Pujol)&lt;br /&gt;
&lt;br /&gt;
Presenters&lt;br /&gt;
* Sonia Pujol, Harvard Medical School&lt;br /&gt;
* Lauren O'Donnell, Harvard Medical School. DTI Research Projects in Image-Guided Therapy&lt;br /&gt;
* Alex Yarmakovich, Isomics Inc.&lt;br /&gt;
* Guido Gerig, Utah&lt;br /&gt;
&lt;br /&gt;
Audience:&lt;br /&gt;
* Project developers interested in learning about existing NA-MIC DTI resources, in order to discuss where the new tools would fit into a workflow&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Logistics:&lt;br /&gt;
* Wednesday January 6, 10:30 am - 11:30 am&lt;br /&gt;
* Location: Amethyst 1&lt;br /&gt;
&lt;br /&gt;
[http://www.na-mic.org/Wiki/index.php/AHM_2010  Back to NA-MIC AHM 2010]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Fletcher_NAMIC_AHM2010.ppt&amp;diff=47154</id>
		<title>File:Fletcher NAMIC AHM2010.ppt</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Fletcher_NAMIC_AHM2010.ppt&amp;diff=47154"/>
		<updated>2010-01-06T17:42:01Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Fletcher_NAMIC_NCBC2008.ppt&amp;diff=29492</id>
		<title>File:Fletcher NAMIC NCBC2008.ppt</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Fletcher_NAMIC_NCBC2008.ppt&amp;diff=29492"/>
		<updated>2008-08-18T18:29:30Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Events:August_2008_NCBC_AHM&amp;diff=29491</id>
		<title>Events:August 2008 NCBC AHM</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Events:August_2008_NCBC_AHM&amp;diff=29491"/>
		<updated>2008-08-18T18:28:08Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Agenda=&lt;br /&gt;
There will be a [http://meetings.nigms.nih.gov/index.cfm?event=home&amp;amp;ID=4095 all hands meeting] for the NCBC program at NIH.&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;00&amp;quot; cellpadding=&amp;quot;8&amp;quot; cellspacing=&amp;quot;0&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| rowspan=&amp;quot;2&amp;quot;| * The dates are August 13-14 and the location will be on the NIH campus&lt;br /&gt;
* Wednesday - August 13th, 8:30 AM - 6:30 PM&lt;br /&gt;
**  8:30 -  8:45 AM Introduction by Dr. Zerhouni, or Dr Berg, Natcher Auditorium&lt;br /&gt;
**  8:45 - 10:15 AM NCBC Presentations from PIs ('''Ron''', [[media:NA-MIC 2008.ppt|10 minute overview over NA-MIC]])&lt;br /&gt;
** 10:15 - 10:30 AM Big P and Building Bridges Summary (Russ Altman) 	 &lt;br /&gt;
** 10:30 - 11:00 AM Break&lt;br /&gt;
***PI Meeting with Drs. Zerhouni, Berg, Lindberg, Natcher A&lt;br /&gt;
** 11:00 - 12:15 PM Presentations from Jr. Faculty 	Natcher Auditorium ('''Tom Fletcher''': 10 Minutes - [[media:Fletcher_NAMIC_NCBC2008.ppt|&amp;quot;Statistical Analysis of Anatomy from Medical Images&amp;quot;]])&lt;br /&gt;
** 12:15 - 1:30 PM 	Working Lunch: Working Groups and Building Bridges 	 &lt;br /&gt;
**  1:30 - 3:30 PM 	&amp;quot;Hot Topic&amp;quot; Presentations 	Natcher Auditorium (30 Mins - '''Ross Whitaker''' - &amp;quot;NAMIC Highlights: From Algorithms and Software to Biomedical Science&amp;quot;): The best science of the center, focus on Biology impact and DBPs. Share the highlights/titles by July 15th.&lt;br /&gt;
**  3:30 - 3:45 PM 	Break 	 &lt;br /&gt;
**  3:45 - 5:15 PM 	&amp;quot;Hot Topic&amp;quot; Presentations continued	 &lt;br /&gt;
**  5:15 - 6:00 PM 	Discussion of network DBP opportunities and Working Group #3 	 &lt;br /&gt;
**  6:30 - --- PM 	Open Reception at hotel with Industry Host. PIs and Project Team will join at 6:45PM. PI Meeting with Project team, 	Natcher A&lt;br /&gt;
* Thursday - August 14th, 8:30 AM - 12:15 PM&lt;br /&gt;
**  8:30 - 9:30 AM     Presentation from each Center: Introduction to the science fair program demos and schedule (teaser for the Science Fair, '''Will Schroeder''')&lt;br /&gt;
** 9:30 - 11:00 AM   Science Fair: [[media:NA-MIC kit NCBC AHM2008 SPujol.ppt |&amp;quot;Three ways to use the NA-MIC kit&amp;quot;]] ('''Sonia Pujol''') &lt;br /&gt;
Abstract: The National Alliance for Medical Imaging Computing (NA-MIC) develops a collection of tools and applications to improve the deployment of advanced image analysis methods to the research community.  By combining science and technology, the NA-MIC kit fosters leading edge clinical research achievements in a collaborative and open-source environment. &lt;br /&gt;
The Science Fair will present the NA-MIC kit through the perspectives of each of our three target audiences: clinical researchers, biomedical engineers and algorithm developers. Attendees will be exposed to potential uses of the NA-MIC kit in the context of 3D visualization to facilitate data interpretation, in the use of advanced image analysis to extract relevant information, and in the development of tailored plug-ins to extend image computing capabilities. Through demonstrations of image processing methods within the 3D Slicer deployment platform, and presentations of NA-MIC pragmatic teaching initiatives to translate techniques into skills, the Science Fair will provide an overview of the benefits of NA-MIC efforts to the research community.&lt;br /&gt;
** 11:00 - 12:00 noon   Working Groups Report Out, Future Plans, Discussion(s)&lt;br /&gt;
** 12:00 - 12:15 PM 	Wrap-up and adjournment of main program (Conference ends for all but PIs, and Project Team and invited guests)&lt;br /&gt;
** 12.15 -  1.15 PM     Lunch (Conference ends for all but PIs) DBP discussion: Diabetes, MH, others&lt;br /&gt;
**  1.15 -  3:00 PM     Moderated Discussions with other NIH Programs: PIs: CaBIG, CTSA, BIRN, NIH Clinical Center, others&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot; colspan=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;| &amp;lt;b&amp;gt;NA-MIC is one of seven National Centers for Biomedical Computing, part of the NIH roadmap initiative.&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;See [http://meetings.nigms.nih.gov/index.cfm?event=home&amp;amp;ID=4095 here] for the program of this years' all hands meeting.&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot;  align=&amp;quot;center&amp;quot;| [[Image:NCBC-Logo.jpg|204px]]&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=NCBC Presentation Materials=&lt;br /&gt;
Russ Altman  will be giving a 10 minutes overview over the entire NCBC program. He has reqested from each of the NCBCs the following information about accomplishments.&lt;br /&gt;
==DBPs==&lt;br /&gt;
A short summary of the original and renewal DBPs (this will also be used in the DBP sig breakout session). Basically title and one paragraph description.&lt;br /&gt;
&lt;br /&gt;
1) During the first three years of NA-MIC, Core 3 consisted of four DBPs which were grouped into two thrusts. &lt;br /&gt;
*Thrust 1 was directed by Drs. Shenton and Saykin. Thrust 2 was directed by Drs. Potkin and Kennedy. The focus of the research was to utilize neuroimaging tools to evaluate fronto-temporal connectivity abnormalities in schizophrenia, as well as abnormalities in hemispheric connections (i.e., corpus callosum), and abnormalities in the anterior limb of the internal capsule. Improved segmentation techniques, coregistration of structural MRI, DTI-MR, and fMRI, as well as novel processing tools for evaluating white matter fiber tracts and interregional functional connectivity were needed to accomplish these goals, and they were developed in conjunction with Cores 1 and 2. &lt;br /&gt;
*Findings from this project, which involve both structural and functional information about brain abnormalities in schizophrenia, were correlated with neurocognitive, clinical, and behavioral data in order to understand further the relationship between brain abnormalities and cognition/behavior in schizophrenia.  &lt;br /&gt;
&lt;br /&gt;
2) Starting with the 4th year of NA-MIC, the DBPs were shifted from schizophrenia to lupus, autism, velocardiofacial syndrome (VCSF), and prostate cancer. &lt;br /&gt;
*These DBPs now drive the computational research within NA-MIC. Specifically: &lt;br /&gt;
** Drs. Jeremy Bockholt and Charles Gasparovi at the MIND Institute and the University of New Mexico are analyzing brain lesions in Neuropsychiatric Systemic Lupus Erythematosis, &lt;br /&gt;
** Drs. Heather Hazlett and Joseph Piven at University of North Carolina, Chapel Hill are conducting a longitudinal MRI study of early brain development in Autism, &lt;br /&gt;
** Dr. Marek Kubicki at Harvard Medical School is investigating VCSF as a genetic model for schizophrenia, and &lt;br /&gt;
** Dr. Gabor Fichtinger at Queens University is developing a robotic percutaneous surgery system for treatment of prostate cancer.&lt;br /&gt;
&lt;br /&gt;
[[Image:NA-MIC-Image-Gallery-2008.png|thumb|250px|[http://www.na-mic.org/pages/Special:PubDB_Gallery?collection=12 The NA-MIC image gallery]]]&lt;br /&gt;
&lt;br /&gt;
==Publications==&lt;br /&gt;
1) A few key journal publications that have emerged directly from each center (say the top 5 per center). These should not be presented in a center-specific context but just to show the volume and quality of scientific production. You should be able to get these directly from your progress reports.&lt;br /&gt;
* We use our publications database to gather download statistics about our publications. See [http://www.na-mic.org/pages/Special:PubDB_Stats?collectionid=12 here] for an up-to-date view.&lt;br /&gt;
*This are the top five papers from our database in terms of number of downloads between September 2007 and July 2008&lt;br /&gt;
*# [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=609 Pohl K, Fisher J, Bouix S, Shenton M, McCarley R, Grimson E, Kikinis R, Wells W. Using the logarithm of odds to define a vector space on probabilistic atlases. Med Image Anal. 2007 Oct;11(5):465-77.]&lt;br /&gt;
*# [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=996 Hata N, Piper S, Jolesz F, Tempany C, Black P, Morikawa S, Iseki H, Hashizume M, Kikinis R. Application of Open Source Image Guided Therapy Software in MR-guided Therapies. Int Conf Med Image Comput Comput Assist Interv. 2007;10(Pt 1):491-8]&lt;br /&gt;
*# [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=544 Yeo B, Sabuncu M, Desikan R, Fischl B, Golland P. Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy. Int Conf Med Image Comput Comput Assist Interv. 2007;10(Pt 1):683-91]&lt;br /&gt;
*# [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=361 Bouix S, Martin-Fernandez M, Ungar L, Nakamura M, Koo M, McCarley R, Shenton M. On evaluating brain tissue classifiers without a ground truth. Neuroimage. 2007 Jul 15;36(4):1207-1224]&lt;br /&gt;
*# [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=540 Georgiou T, Michailovich O, Rathi Y, Malcolm J, Tannenbaum A. Distribution Metrics and Image Segmentation. Linear Algebra and its Applications. 2007;425(2-3):663-672]&lt;br /&gt;
&lt;br /&gt;
2) Some statistics of publications: total number in the last year or cumulative. Again, these should be presented in aggregate rather than by center.&lt;br /&gt;
* 198 cumulative publications. http://www.na-mic.org/pages/Special:Publications?collection=12&lt;br /&gt;
* See also [http://www.na-mic.org/pages/Special:PubDB_Stats?collectionid=12 here] for a geographical distribution of the downloads. This link is sometimes slow.&lt;br /&gt;
&lt;br /&gt;
[[Image:Slicer3-11-2007.jpg|thumb|250px|[[NA-MIC-Kit|Go to the NA-MIC Kit]]]]&lt;br /&gt;
&lt;br /&gt;
==Tools==&lt;br /&gt;
A list of tools produced by the center with one or two highlights where you have high volume download or many journal citations.&lt;br /&gt;
*[[NA-MIC-Kit|NA-MIC Kit]], which includes [http://www.slicer.org 3D Slicer], a popular visualization package (see [http://slicer.org/pages/Special:Download_Stats here] for un-curated download statistics--it is helpful if you sort by number of downloads to see the full impact).&lt;br /&gt;
&lt;br /&gt;
==Outreach==&lt;br /&gt;
*List of conferences/meetings where people in your center have explicitly advertised or demoed the NCBC’s activities.&lt;br /&gt;
**MICCAI, RSNA, Human Brain Mapping, IGT Workshops at NIH&lt;br /&gt;
*Newsletters, conferences, and other activities promoted by the centers.&lt;br /&gt;
**The semi-annual hands-on event called the &amp;quot;NA-MIC Project Week&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
==Collaborations==&lt;br /&gt;
&lt;br /&gt;
http://wiki.na-mic.org/Wiki/index.php/NA-MIC_External_Collaborations&lt;br /&gt;
&lt;br /&gt;
==Buiding Bridges Postdoc==&lt;br /&gt;
[[Image:Spines01.jpg|thumb|250px|A small fragment of a dendrite (gray) with segmented spines (color).]]&lt;br /&gt;
* Who was the bridge built to?&lt;br /&gt;
**The National Center for Microscopy and Imaging Research (NCMIR; http://ncmir.ucsd.edu) at the University of California, San Diego. A key emphasis of NCMIR is the application of advanced imaging technologies to the nervous system in health and disease. Affiliated with UCSD’s Center for Research in Biological Systems (CRBS), the NCMIR is a recognized authority in the development of technologies for high throughput multi-scale imaging and analysis of biological systems at the mesoscale, the dimensional range spanning 5 nm3 and 50µm3. Macromolecules, organelles, and multi-component structures like synapses which are encompassed in this dimensional range have traditionally been challenging to study because they fall in the resolution gap between X-ray crystallography at one end and medical imaging at the other.&lt;br /&gt;
* What is the general topic of the research?&lt;br /&gt;
**Work within the Slicer environment to address multi-scale microscopy imaging data, thereby allowing for the analysis and visualization of cellular data.  The project has focused on the importation of data into Slicer and the investigation of algorithms for cellular and sub-cellular data (e.g. see -  http://www.na-mic.org/Wiki/index.php/Projects/Slicer3/2007_Project_Week_Support_for_electron_microscopy).&lt;br /&gt;
&lt;br /&gt;
==NA-MIC Description==&lt;br /&gt;
&lt;br /&gt;
NA-MIC is a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data.  The purpose of the center is to provide the infrastructure and environment for the development of computational algorithms and open source technologies, and then oversee the training and dissemination of these tools to the medical research community. This world-class software and development environment serves as a foundation for accelerating the development and deployment of computational tools that are readily accessible to the medical research community. The team combines cutting-edge computer vision research (to create medical imaging analysis algorithms) with state of the art software engineering techniques (based on &amp;quot;extreme&amp;quot; programming techniques in a distributed, open-source environment) to enable computational examination of both basic neuroscience and neurological disorders. In developing this infrastructure resource, the team is significantly expanding upon proven open systems technology and platforms. &lt;br /&gt;
&lt;br /&gt;
The driving biological projects for NA-MIC include the study of autism, lupus, prostate cancer, VCSF, and schizophrenia, but the methods are applicable to many other diseases. The computational tools developed in NA-MIC are used to perform image-analysis at a range of scales, and across a range of modalities including diffusion MRI, quantitative ECG, and metabolic and receptor PET, but potentially including microscopic, genomic, and other image data. It applies to image data from individual patients, and to studies executed across large populations. The data is taken from subjects across a wide range of time scales and ultimately apply to a broad range of diseases in a broad range of organs.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Events:August_2008_NCBC_AHM&amp;diff=29249</id>
		<title>Events:August 2008 NCBC AHM</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Events:August_2008_NCBC_AHM&amp;diff=29249"/>
		<updated>2008-08-05T14:52:09Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Agenda=&lt;br /&gt;
There will be a [http://meetings.nigms.nih.gov/index.cfm?event=home&amp;amp;ID=4095 all hands meeting] for the NCBC program at NIH.&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;00&amp;quot; cellpadding=&amp;quot;8&amp;quot; cellspacing=&amp;quot;0&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| rowspan=&amp;quot;2&amp;quot;| * The dates are August 13-14 and the location will be on the NIH campus&lt;br /&gt;
* Wednesday - August 13th, 8:30 AM - 6:30 PM&lt;br /&gt;
**  8:30 -  8:45 AM Introduction by Dr. Zerhouni, or Dr Berg, Natcher Auditorium&lt;br /&gt;
**  8:45 - 10:15 AM NCBC Presentations from PIs ('''Ron''', 10 minutes)&lt;br /&gt;
** 10:15 - 10:30 AM Big P and Building Bridges Summary (Russ Altman) 	 &lt;br /&gt;
** 10:30 - 11:00 AM Break&lt;br /&gt;
***PI Meeting with Drs. Zerhouni, Berg, Lindberg, Natcher A&lt;br /&gt;
** 11:00 - 12:15 PM Presentations from Jr. Faculty 	Natcher Auditorium ('''Tom Fletcher''': 10 Minutes - &amp;quot;Statistical Analysis of Anatomy from Medical Images&amp;quot;)&lt;br /&gt;
** 12:15 - 1:30 PM 	Working Lunch: Working Groups and Building Bridges 	 &lt;br /&gt;
**  1:30 - 3:30 PM 	&amp;quot;Hot Topic&amp;quot; Presentations 	Natcher Auditorium (30 Mins - '''Ross Whitaker''' - &amp;quot;NAMIC Highlights: From Algorithms and Software to Biomedical Science&amp;quot;): The best science of the center, focus on Biology impact and DBPs. Share the highlights/titles by July 15th.&lt;br /&gt;
**  3:30 - 3:45 PM 	Break 	 &lt;br /&gt;
**  3:45 - 5:15 PM 	&amp;quot;Hot Topic&amp;quot; Presentations continued	 &lt;br /&gt;
**  5:15 - 6:00 PM 	Discussion of network DBP opportunities and Working Group #3 	 &lt;br /&gt;
**  6:30 - --- PM 	Open Reception at hotel with Industry Host. PIs and Project Team will join at 6:45PM. PI Meeting with Project team, 	Natcher A&lt;br /&gt;
* Thursday - August 14th, 8:30 AM - 12:15 PM&lt;br /&gt;
**  8:30 - 9:30 AM     Presentation from each Center: Introduction to the science fair program demos and schedule (teaser for the Science Fair, '''Will Schroeder''')&lt;br /&gt;
** 9:30 - 11:00 AM   Science Fair: &amp;quot;Three ways to use the NA-MIC kit&amp;quot; ('''Sonia Pujol''')&lt;br /&gt;
Abstract: The National Alliance for Medical Imaging Computing (NA-MIC) develops a collection of tools and applications to improve the deployment of advanced image analysis methods to the research community.  By combining science and technology, the NA-MIC kit fosters leading edge clinical research achievements in a collaborative and open-source environment. &lt;br /&gt;
The Science Fair will present the NA-MIC kit through the perspectives of each of our three target audiences: clinical researchers, biomedical engineers and algorithm developers. Attendees will be exposed to potential uses of the NA-MIC kit in the context of 3D visualization to facilitate data interpretation, in the use of advanced image analysis to extract relevant information, and in the development of tailored plug-ins to incubate new concepts. Through demonstrations of image processing methods within the 3D Slicer deployment platform, and presentations of NA-MIC pragmatic teaching initiatives to translate techniques into skills, the Science Fair will provide an overview of the potential benefits of NA-MIC efforts to the research community.&lt;br /&gt;
** 11:00 - 12:00 noon   Working Groups Report Out, Future Plans, Discussion(s)&lt;br /&gt;
** 12:00 - 12:15 PM 	Wrap-up and adjournment of main program (Conference ends for all but PIs, and Project Team and invited guests)&lt;br /&gt;
** 12.15 -  1.15 PM     Lunch (Conference ends for all but PIs) DBP discussion: Diabetes, MH, others&lt;br /&gt;
**  1.15 -  3:00 PM     Moderated Discussions with other NIH Programs: PIs: CaBIG, CTSA, BIRN, NIH Clinical Center, others&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot; colspan=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;| &amp;lt;b&amp;gt;NA-MIC is one of the National Centers for Biomedical Computing&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;See [http://meetings.nigms.nih.gov/index.cfm?event=home&amp;amp;ID=4095 here] for the program of this years' all hands meeting.&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot;  align=&amp;quot;center&amp;quot;| [[Image:NCBC-Logo.jpg|204px]]&lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=NCBC Presentation Materials=&lt;br /&gt;
Russ Altman  will be giving a 10 minutes overview over the entire NCBC program. He has reqested from each of the NCBCs the following information about accomplishments.&lt;br /&gt;
==DBPs==&lt;br /&gt;
A short summary of the original and renewal DBPs (this will also be used in the DBP sig breakout session). Basically title and one paragraph description.&lt;br /&gt;
&lt;br /&gt;
1) During the first three years of NA-MIC, Core 3 consisted of four DBPs which were grouped into two thrusts. &lt;br /&gt;
*Thrust 1 was directed by Drs. Shenton and Saykin. Thrust 2 was directed by Drs. Potkin and Kennedy. The focus of the research was to utilize neuroimaging tools to evaluate fronto-temporal connectivity abnormalities in schizophrenia, as well as abnormalities in hemispheric connections (i.e., corpus callosum), and abnormalities in the anterior limb of the internal capsule. Improved segmentation techniques, coregistration of structural MRI, DTI-MR, and fMRI, as well as novel processing tools for evaluating white matter fiber tracts and interregional functional connectivity were needed to accomplish these goals, and they were developed in conjunction with Cores 1 and 2. &lt;br /&gt;
*Findings from this project, which involve both structural and functional information about brain abnormalities in schizophrenia, were correlated with neurocognitive, clinical, and behavioral data in order to understand further the relationship between brain abnormalities and cognition/behavior in schizophrenia.  &lt;br /&gt;
&lt;br /&gt;
2) Starting with the 4th year of NA-MIC, the DBPs were shifted from schizophrenia to lupus, autism, velocardiofacial syndrome (VCSF), and prostate cancer. &lt;br /&gt;
*These DBPs now drive the computational research within NA-MIC. Specifically: Drs. Jeremy Bockholt and Charles Gasparovi at the MIND Institute and the University of New Mexico are analyzing brain lesions in Neuropsychiatric Systemic Lupus Erythematosis, Drs. Heather Hazlett and Joseph Piven at University of North Carolina, Chapel Hill are conducting a longitudinal MRI study of early brain development in Autism, Dr. Marek Kubicki at Harvard Medical School is investigating VCSF as a genetic model for schizophrenia, and Dr. Gabor Fichtinger at Queens University is developing a robotic percutaneous surgery system for treatment of prostate cancer.&lt;br /&gt;
&lt;br /&gt;
[[Image:NA-MIC-Image-Gallery-2008.png|thumb|250px|[http://www.na-mic.org/pages/Special:PubDB_Gallery?collection=12 The NA-MIC image gallery]]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Publications==&lt;br /&gt;
1) A few key journal publications that have emerged directly from each center (say the top 5 per center). These should not be presented in a center-specific context but just to show the volume and quality of scientific production. You should be able to get these directly from your progress reports.&lt;br /&gt;
* We use our publications database to gather download statistics about our publications. See [http://www.na-mic.org/pages/Special:PubDB_Stats?collectionid=12 here] for an up-to-date view.&lt;br /&gt;
*This are the top five papers from our database in terms of number of downloads between September 2007 and July 2008&lt;br /&gt;
*# http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=609&lt;br /&gt;
*# http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=996&lt;br /&gt;
*# http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=544&lt;br /&gt;
*# http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=361&lt;br /&gt;
*# http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=540&lt;br /&gt;
&lt;br /&gt;
2) Some statistics of publications: total number in the last year or cumulative. Again, these should be presented in aggregate rather than by center.&lt;br /&gt;
* 198 cumulative publications. http://www.na-mic.org/pages/Special:Publications?collection=12&lt;br /&gt;
* See also [http://www.na-mic.org/pages/Special:PubDB_Stats?collectionid=12 here] for a geographical distribution of the downloads. This link is sometimes slow.&lt;br /&gt;
&lt;br /&gt;
[[Image:Slicer3-11-2007.jpg|thumb|250px|[[NA-MIC-Kit|Go to the NA-MIC Kit]]]]&lt;br /&gt;
&lt;br /&gt;
==Tools==&lt;br /&gt;
A list of tools produced by the center with one or two highlights where you have high volume download or many journal citations.&lt;br /&gt;
*[[NA-MIC-Kit|NA-MIC Kit]], which includes [http://www.slicer.org 3D Slicer], a popular visualization package (see [http://slicer.org/pages/Special:Download_Stats here] for un-curated download statistics--it is helpful if you sort by number of downloads to see the full impact).&lt;br /&gt;
&lt;br /&gt;
==Outreach==&lt;br /&gt;
*List of conferences/meetings where people in your center have explicitly advertised or demoed the NCBC’s activities.&lt;br /&gt;
**MICCAI, RSNA, Human Brain Mapping, IGT Workshops at NIH&lt;br /&gt;
*Newsletters, conferences, and other activities promoted by the centers.&lt;br /&gt;
**The semi-annual hands-on event called the &amp;quot;NA-MIC Project Week&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
==NA-MIC Description==&lt;br /&gt;
&lt;br /&gt;
NA-MIC is a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data.  The purpose of the center is to provide the infrastructure and environment for the development of computational algorithms and open source technologies, and then oversee the training and dissemination of these tools to the medical research community. This world-class software and development environment serves as a foundation for accelerating the development and deployment of computational tools that are readily accessible to the medical research community. The team combines cutting-edge computer vision research (to create medical imaging analysis algorithms) with state of the art software engineering techniques (based on &amp;quot;extreme&amp;quot; programming techniques in a distributed, open-source environment) to enable computational examination of both basic neuroscience and neurological disorders. In developing this infrastructure resource, the team is significantly expanding upon proven open systems technology and platforms. &lt;br /&gt;
&lt;br /&gt;
The driving biological projects for NA-MIC include the study of autism, lupus, prostate cancer, VCSF, and schizophrenia, but the methods are applicable to many other diseases. The computational tools developed in NA-MIC are used to perform image-analysis at a range of scales, and across a range of modalities including diffusion MRI, quantitative ECG, and metabolic and receptor PET, but potentially including microscopic, genomic, and other image data. It applies to image data from individual patients, and to studies executed across large populations. The data is taken from subjects across a wide range of time scales and ultimately apply to a broad range of diseases in a broad range of organs.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2008_Summer_Project_Week&amp;diff=26059</id>
		<title>2008 Summer Project Week</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2008_Summer_Project_Week&amp;diff=26059"/>
		<updated>2008-05-29T19:06:48Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Diffusion Image Analysis */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to [[Engineering:Programming_Events|Programming/Project Events]]&lt;br /&gt;
&lt;br /&gt;
[[Image:ProjectWeek-2008.png|thumb|220px|right|Summer 2008]]&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
&lt;br /&gt;
'''Dates:''' June 23-27, 2008&lt;br /&gt;
&lt;br /&gt;
'''Location:''' MIT. [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Registration Fee:''' $260 (this will cover the cost of breakfast, lunch and coffee breaks for the week). Due by Friday, June 13th, 2008. Please make checks out to &amp;quot;Massachusetts Institute of Technology&amp;quot; and mail to: Donna Kaufman, MIT, 77 Massachusetts Ave., 38-409a, Cambridge, MA 02139&lt;br /&gt;
&lt;br /&gt;
If you are attending for one day only, the registration fee is not required.&lt;br /&gt;
&lt;br /&gt;
'''Hotel:''' We have a group rate of $239/night (plus tax) for a room with either 1 king or 2 queen beds at the [http://www.hotelatmit.com Hotel at MIT (now called Le Meridien)]. [http://www.starwoodmeeting.com/StarGroupsWeb/booking/reservation?id=0805167317&amp;amp;key=4FD1B  Please click here to reserve.]This rate is good only through June 1.&lt;br /&gt;
&lt;br /&gt;
Here is some information about several other Boston area hotels that are convenient to NA-MIC events: [[Boston_Hotels|Boston_Hotels]]. Summer is tourist season in Boston, so please book your rooms early.&lt;br /&gt;
&lt;br /&gt;
([[Project Week Logistics Checklist|This is a checklist for the onsite planning items]])&lt;br /&gt;
&lt;br /&gt;
==Introduction to NA-MIC Project Week==&lt;br /&gt;
&lt;br /&gt;
NA-MIC Project Week is a hands on activity -- programming using the [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, and clinical application -- that has become one of the major events in the [[NA-MIC-Kit|NA-MIC Kit]] calendar. This event is the seventh of the [[Engineering:Programming_Events|'''series''']]. It is held in the summer at MIT (typically the last week of June), and a shorter version is held in Salt Lake City in the winter (typically the second week of January).  &lt;br /&gt;
The main goal of these events if to move forward the deliverables of NA-MIC. NA-MIC participants and their collaborators are welcome to attend.  &lt;br /&gt;
&lt;br /&gt;
* NA-MIC Members: Participation in this event is voluntary -- if you don't think this will help you move forward in your work, there is no obligation to attend.&lt;br /&gt;
* Ideal candidates are those who want to contribute to the [[NA-MIC-Kit|NA-MIC Kit]], and those who can help make it happen.&lt;br /&gt;
* This is not an introduction to the components of the [[NA-MIC-Kit|NA-MIC Kit]].&lt;br /&gt;
* NA-MIC Core 1 (Algorithms) - bring your algorithms and code to work on in the company of Core 2 engineers and Core 3 scientists.&lt;br /&gt;
* NA-MIC Core 2 (Engineering) - bring your code for infrastructure and applications to extend the [[NA-MIC-Kit|NA-MIC Kit]] capabilities, integrate Core 1 algorithms, and refine workflows for Core 3.&lt;br /&gt;
* NA-MIC Core 3 (DBP) - bring your data to work on with the [[NA-MIC-Kit|NA-MIC Kit]] and get assistance and provide feedback to Core 1 scientists and Core 2 engineers.&lt;br /&gt;
* External Collaborators - if you are working on a project that uses the [[NA-MIC-Kit|NA-MIC kit]], and want to participate to get help from NA-MIC Engineering, please send an email to Tina Kapur (tkapur at bwh.harvard.edu).  Please note that the event is open to people outside NA-MIC, subject to availability.&lt;br /&gt;
* Everyone should '''bring a laptop'''. We will have four projectors.&lt;br /&gt;
* About half the time will be spent working on projects and the other half in project related discussions.&lt;br /&gt;
* You '''do''' need to be actively working on a NA-MIC related project in order to make this investment worthwhile for everyone.&lt;br /&gt;
&lt;br /&gt;
== Agenda==&lt;br /&gt;
* Monday &lt;br /&gt;
** noon-1pm lunch &lt;br /&gt;
**1pm: Welcome (Ron Kikinis)&lt;br /&gt;
** 1:05-3:30pm Introduce [[#Projects|Projects]] using templated wiki pages (all Project Leads) ([[NA-MIC/Projects/Theme/Template|Wiki Template]]) &lt;br /&gt;
** 3:30-5:30pm Start project work&lt;br /&gt;
* Tuesday &lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 9:00-9:45am: NA-MIC Software Process &lt;br /&gt;
** 10-10:30am [[Project Week 2008 Slicer 3.0 Update|Slicer 3.0 Update]] (Jim Miller, Steve Pieper)&lt;br /&gt;
** noon lunch&lt;br /&gt;
** 2:30-3:30pm: [[Project Week 2008 Special topic breakout: Non-Linear Registration]] &lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Wednesday &lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 9:00-12pm [[Project Week 2008 Special topic breakout: ITK]] (Luis Ibanez)&lt;br /&gt;
** noon lunch&lt;br /&gt;
** 2:30-3:30pm: [[Project Week 2008 Special topic breakout: XNAT Database]] (Daniel Marcus)&lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Thursday&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** noon lunch&lt;br /&gt;
**2:30-3:30pm [[Project Week 2008 Special topic breakout: GWE]] (Marco Ruiz)&lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Friday &lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 10am-noon: Project Progress using update [[#Projects|Project Wiki pages]]&lt;br /&gt;
** noon lunch boxes and adjourn.  (Next one [[AHM_2009| in Utah the week of Jan 5, 2009]])&lt;br /&gt;
&lt;br /&gt;
== Preparation ==&lt;br /&gt;
&lt;br /&gt;
# Please make sure that you are on the http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week mailing list&lt;br /&gt;
&lt;br /&gt;
# [[Engineering:TCON_2008|May 08 and May 15 TCON DBPs ONLY]] at 3pm ET to discuss NA-MIC DBP Projects ONLY. &lt;br /&gt;
# [[Engineering:TCON_2008|May 22 TCON#1]] at 3pm ET to discuss NA-MIC Engr Core Projects and Assign/Verify Teams&lt;br /&gt;
# [[Engineering:TCON_2008|May 29 TCON#2]] at 3pm ET to discuss NA-MIC ALGORITHMS Core Lead Projects.  Project leads should sign up for a slot [[Engineering:TCON_2008|here]]. Projects will be discussed in order of the signups. &lt;br /&gt;
# [[Engineering:TCON_2008|June 5 TCON#3]] at 3pm ET to discuss NA-MIC EXTERNAL Collaborations.  All NIH funded &amp;quot;collaborations with NCBC&amp;quot; leads should call. Project leads should sign up for a slot [[Engineering:TCON_2008|here]].  Projects will be discussed in order of the signups. &lt;br /&gt;
# [[Engineering:TCON_2008|June 12 TCON#4]] at 3pm ET to discuss NA-MIC EXTERNAL Collaborations.  All other collaboration leads should call. Project leads should sign up for a slot [[Engineering:TCON_2008|here]].  Projects will be discussed in order of the signups. &lt;br /&gt;
# [[Engineering:TCON_2008|June 19 TCON#5]] at 3pm ET to tie loose ends.  Anyone with un-addressed questions should call.&lt;br /&gt;
# By 3pm ET on June 12, 2008: [[NA-MIC/Projects/Theme/Template|Complete a templated wiki page for your project]]. Please do not edit the template page itself, but create a new page for your project and cut-and-paste the text from this template page.  If you have questions, please send an email to tkapur at bwh.harvard.edu.&lt;br /&gt;
# By 3pm on June 19, 2008: Create a directory for each project on the [[Engineering:SandBox|NAMIC Sandbox]] (Zack)&lt;br /&gt;
## Commit on each sandbox directory the code examples/snippets that represent our first guesses of appropriate methods. (Luis and Steve will help with this, as needed)&lt;br /&gt;
## Gather test images in any of the Data sharing resources we have (e.g. the BIRN). These ones don't have to be many. At least three different cases, so we can get an idea of the modality-specific characteristics of these images. Put the IDs of these data sets on the wiki page. (the participants must do this.)&lt;br /&gt;
## Setup nightly tests on a separate Dashboard, where we will run the methods that we are experimenting with. The test should post result images and computation time. (Zack)&lt;br /&gt;
# Please note that by the time we get to the project event, we should be trying to close off a project milestone rather than starting to work on one...&lt;br /&gt;
&lt;br /&gt;
== A History in Wiki Links ==&lt;br /&gt;
&lt;br /&gt;
A history of all the programming/project events in NA-MIC is available by following [[Engineering:Programming_Events|this link]].&lt;br /&gt;
&lt;br /&gt;
== Projects ==&lt;br /&gt;
&lt;br /&gt;
===DBP II===&lt;br /&gt;
These are projects by the new set of DBPS:&lt;br /&gt;
#[[DBP2:Harvard|Velocardio Facial Syndrome (VCFS) as a Genetic Model for Schizophrenia]] (Harvard: Marek Kubicki, PI)&lt;br /&gt;
##EPI-DWI Distortion correction (Sylvain Bouix BWH, Tauseef Rehman GATech)&lt;br /&gt;
##EPI-DWI Eddy Current distortion correction (Sylvain Bouix BWH, Ran Tao Utah)&lt;br /&gt;
##Lobe Parcellation of 3T MR data - need help parametrization (Sylvain Bouix BWH, Priya Srinivasan BWH, Brad Davis Kitware)&lt;br /&gt;
##Finsler method (John Melonakos GATech, Marek Kubicki BWH)&lt;br /&gt;
##Group Analysis on DTI (Casey Goodlett Utah, Marek Kubicki BWH)&lt;br /&gt;
#[[DBP2:UNC|Longitudinal MRI Study of Early Brain Development in Autism]] (UNC: Heather Hazlett, Joseph Piven, PI)&lt;br /&gt;
##Add Projects for this DBP here...&lt;br /&gt;
#[[DBP2:MIND|Analysis of Brain Lesions in Lupus]] (MIND/UNM: Jeremy Bockholt, Charles Gasparovic PI)&lt;br /&gt;
##[[DBP2:MIND:RoadmapProject|Finish Roadmap Project]]&lt;br /&gt;
##[[DBP2:MIND:LongitudinalRegistrationProject|Longitudinal Registration]]&lt;br /&gt;
##[[DBP2:MIND:BeyondLesionsProject|Beyond Lesions]]&lt;br /&gt;
#[[DBP2:JHU|Segmentation and Registration Tools for Robotic Prostate Intervention]] (Queens/JHU: Gabor Fichtinger, PI)&lt;br /&gt;
##Add Projects for this DBP here...&lt;br /&gt;
&lt;br /&gt;
===Structural Analysis===&lt;br /&gt;
&lt;br /&gt;
===Diffusion Image Analysis===&lt;br /&gt;
#[[2008_Summer_Project_Week:EddyCurrentCorrection|Eddy current and head motion correction of DWIs]] (Ran Tao, Utah, Sylvain Bouix, BWH, Xiaodong Tao, GE, Tom Fletcher, Utah)&lt;br /&gt;
&lt;br /&gt;
===Calibration/Validation===&lt;br /&gt;
&lt;br /&gt;
===NA-MIC Kit - Slicer 3===&lt;br /&gt;
&lt;br /&gt;
===External Collaborations===&lt;br /&gt;
#[[NA-MIC/Projects/Collaboration/UWA-Perth]] (Adam Wittek)&lt;br /&gt;
#[[NA-MIC/Projects/Collaboration/MRSI Module for Slicer]] (Bjoern Menze)&lt;br /&gt;
#NIREP: Non-rigid Image Registration Evaluation (Gary Christensen Group)&lt;br /&gt;
#Lung Atlas (Gary Christensen Group)&lt;br /&gt;
#Non-rigid image registration (Gary Christensen Group)&lt;br /&gt;
#[[NA-MIC/Projects/Collaboration/SARP phantom]] (Keith Gunderson)&lt;br /&gt;
&lt;br /&gt;
===Non-Medical Collaborations===&lt;br /&gt;
&lt;br /&gt;
==Attendee List==&lt;br /&gt;
# Ron Kikinis, BWH&lt;br /&gt;
# Gary Christensen, The University of Iowa&lt;br /&gt;
# Jeffrey Hawley, Gary Christensen's student&lt;br /&gt;
# Kate Raising, Gary Christensen's student&lt;br /&gt;
# Nathan Fritze, Gary Christensen's student&lt;br /&gt;
# Paul Song, Gary Christensen's student&lt;br /&gt;
# Cheng Zhang, Gary Christensen's student&lt;br /&gt;
# Ying Wei, Gary Christensen's student&lt;br /&gt;
# Nathan Burnette, The University of Iowa&lt;br /&gt;
# Hans Johnson, The University of Iowa&lt;br /&gt;
# Vincent Magnotta, The University of Iowa&lt;br /&gt;
# Keith Gunderson, The University of Iowa&lt;br /&gt;
# Steve Pieper, Isomics, Core 2/6&lt;br /&gt;
# Dana C. Peters, BIDMC Harvard Medical&lt;br /&gt;
# Jason Taclas, BIDMC Harvard Medical&lt;br /&gt;
# Nicole Aucoin, BWH, Core 2&lt;br /&gt;
# Will Schroeder, Kitware, Cores 2/4&lt;br /&gt;
# Sebastien Barre, Kitware, Core 2&lt;br /&gt;
# Julien Jomier, Kitware, Core 2&lt;br /&gt;
# Luis Ibanez, Kitware, Core 2&lt;br /&gt;
# Curtis Lisle, KnowledgeVis, Core 2&lt;br /&gt;
# Katie Hayes, BWH, Core 2&lt;br /&gt;
# Randy Gollub, MGH, Core 5&lt;br /&gt;
# Clement Vachet, UNC, Core 3&lt;br /&gt;
# Casey Goodlett, Utah, Core 1&lt;br /&gt;
# Jeffrey Grethe, UCSD, Core 2&lt;br /&gt;
# Marco Ruiz, UCSD, Core 2&lt;br /&gt;
# Zhen Qian, Rutgers University&lt;br /&gt;
# Jinghao Zhou, Rutgers University&lt;br /&gt;
# Luca Antiga, Mario Negri Institute&lt;br /&gt;
# Adam Wittek, The University of Western Australia&lt;br /&gt;
# Grand Joldes, The University of Western Australia&lt;br /&gt;
# Jamie Berger, The University of Western Australia&lt;br /&gt;
# Serdar Balci, MIT, Core 1&lt;br /&gt;
# Bryce Kim, MIT, Core1&lt;br /&gt;
# Tina Kapur, BWH, Core 6&lt;br /&gt;
# Carling Cheung, Robarts Research Institute / The University of Western Ontario&lt;br /&gt;
# Danielle Pace, Robarts Research Institute / The University of Western Ontario&lt;br /&gt;
# Sean Megason, Dept of Systems Biology, Harvard Medical School&lt;br /&gt;
# Alex Gouaillard, Dept of Systems Biology, Harvard Medical School&lt;br /&gt;
# Kishore Mosaliganti, Dept of Systems Biology, Harvard Medical School&lt;br /&gt;
# Arnaud Gelas, Dept of Systems Biology, Harvard Medical School&lt;br /&gt;
# Sonia Pujol, Surgical Planning Laboratory, BWH&lt;br /&gt;
# Bjoern Menze, (then) Surgical Planning Laboratory, BWH&lt;br /&gt;
# Alex Yarmarkovich, Isomics, Core 2&lt;br /&gt;
# Sylvain Bouix, BWH, Core 3&lt;br /&gt;
# Priya Srinivasan, BWH, Core 3&lt;br /&gt;
# Chris Churas, UCSD, Core 2&lt;br /&gt;
# John Melonakos, Georgia Tech, Core 1&lt;br /&gt;
# Yi Gao, Georgia Tech, Core 1&lt;br /&gt;
# Tauseef Rehman, Georgia Tech, Core 1&lt;br /&gt;
# Clare Poynton, MIT, Core 1&lt;br /&gt;
# H. Jeremy Bockholt, MRN Lupus DBP Core 3&lt;br /&gt;
# Mark Scully, MRN Lupus DBP Core 3&lt;br /&gt;
# Gabor Fichtinger, Queen's, Core 2&lt;br /&gt;
# David Gobbi, Queen's, Core 2&lt;br /&gt;
# Purang Abolmaesumi, Queen's, Core 2&lt;br /&gt;
# Siddharth Vikal, Queen's, Core 2&lt;br /&gt;
# Daniel Blezek, Mayo&lt;br /&gt;
# Csaba Csoma, JHU, Core 2&lt;br /&gt;
# Ran Tao, University of Utah, Core 1&lt;br /&gt;
# Jim Miller, GE Research, Core 2&lt;br /&gt;
# Viswanath Avasarala, GE Research, NAC&lt;br /&gt;
&lt;br /&gt;
==Pictures==&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:NAMIC-AHM2008-Utah1.ppt&amp;diff=21092</id>
		<title>File:NAMIC-AHM2008-Utah1.ppt</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:NAMIC-AHM2008-Utah1.ppt&amp;diff=21092"/>
		<updated>2008-01-10T14:16:59Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=AHM_2008&amp;diff=21091</id>
		<title>AHM 2008</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=AHM_2008&amp;diff=21091"/>
		<updated>2008-01-10T14:16:15Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Agenda */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
== Introduction ==&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;00&amp;quot; cellpadding=&amp;quot;8&amp;quot; cellspacing=&amp;quot;0&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| rowspan=&amp;quot;2&amp;quot;| '''This is the home page for the 2008 NA-MIC all hands meeting (AHM).''' NA-MIC participants meet for a AHM once a year. The purpose of the AHM is to coordinate, discuss plans and report to NIH officers and the external advisory board (EAB). The external advisory board meets with the NA-MIC leadership immediately after the AHM. In parallel, NA-MIC is organizing a project week. These events, with the exception of the EAB meeting, are open to collaborators and potential collaborators.&lt;br /&gt;
&lt;br /&gt;
For more information about the project weeks in general, click [[Engineering:Programming_Events|'''here''']]. &lt;br /&gt;
&lt;br /&gt;
For information about the January 2008 project week, see below or click [[2008_Winter_Project_Week|'''here''']].&lt;br /&gt;
&lt;br /&gt;
For information about Utah as a travel destination click [http://www.utah.com '''here'''].&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot; colspan=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;| [[Image:SLC.jpg|center|350px|View of the City]]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot;| &amp;lt;b&amp;gt;SLC&amp;lt;/b&amp;gt;&lt;br /&gt;
| style=&amp;quot;background: #ebeced&amp;quot;|The 2008 AHM, EAB and Project Week will be held in Salt Lake City, UT, January 7-11 2008. &lt;br /&gt;
|}&lt;br /&gt;
&amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
We have three wireless access points at the AHM.&lt;br /&gt;
&lt;br /&gt;
Two of them are located in the capital ballroom.  One is named capital-ballroom, the other is named capital-ballroom2.  If one access point doesn't let you connect it is probably overloaded.  In that case, please try connecting to the other one.&lt;br /&gt;
&lt;br /&gt;
The wireless in the amethyst ballroom is named linksys.&lt;br /&gt;
&lt;br /&gt;
None of these access points require a password to connect.  &lt;br /&gt;
&lt;br /&gt;
== Agenda ==&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#ebeced; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Time'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Monday, January 7''' &lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Tuesday, January 8'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Wednesday, January 9''' &lt;br /&gt;
| style=&amp;quot;width:32%&amp;quot; | '''Thursday, January 10 '''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Friday, January 11''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;| '''[[2008_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;| '''[[2008_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;| '''[[2008_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:#522200&amp;quot;| '''AHM''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol A-B], [[2008_EAB|'''EAB''']] in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Olympus B]&lt;br /&gt;
'''[[2008_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Olympus A]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:#522200&amp;quot;|'''[[2008_Winter_Project_Week|Project Activities]] ''' in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol B-C]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''7:30-''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|  &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Breakfast&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|'''9:30''' Core 1 and 2 PI closed session in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Capitol A]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; [[2008 Winter Project Week Plug-ins for Slicer3|Plug-ins for Slicer3]] in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;'''8:00-9:00''' [[2008 Winter Project Week IGT|IGT Breakout Session]] [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
9am: [[2008 Winter Project Week Tractography|Tractography Breakout Session]] in [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 2]&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:00''' [[AHM 2008 Introduction|Introduction]], Ron Kikinis &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''Core 1 and 2 Presentations'''&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:05''' [[Media:NAMIC-AHM2008-Utah1.ppt | Utah 1]], Ross Whitaker&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:20''' [[Media:Utah-Gerig-EAB.ppt‎ | Utah 2]], Guido Gerig&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:30''': [[Media:MIT_NAMIC_AHM2008.ppt‎ | MIT]], Polina Golland&amp;lt;br&amp;gt;&lt;br /&gt;
'''8:45''': [[Media:20080110-AHM-GeorgiaTech.zip|Georgia Tech]], Allen Tannenbaum&amp;lt;br&amp;gt;&lt;br /&gt;
'''9:00''': [[Media:2008 UNC Core1 NAMIC AHM.ppt | UNC]], Martin Styner&amp;lt;br&amp;gt;&lt;br /&gt;
'''9:10''': MGH/WUSTL, Dan Marcus&amp;lt;br&amp;gt;&lt;br /&gt;
'''9:25''': Kitware, Will Schroeder&amp;lt;br&amp;gt;&lt;br /&gt;
'''9:40''': [[Media:GE Research AHM 2008.ZIP | GE Research]], Jim Miller&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''10:00-10:30''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;| Core 1 and 2 PI closed session&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''10:30-12:00''' &lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;| Core 1 and 2 PI closed session&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
[[2008 Winter Project Week Tractography|Tractography Breakout Session contd]]  &lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|&lt;br /&gt;
'''10:30''': [[media:2008 NA-MIC AHM Isomics.ppt | Isomics]], Steve Pieper&amp;lt;br&amp;gt;&lt;br /&gt;
'''10:45''': [[media:NA-MIC_2008AHM_UCSD.ppt | UCSD]], Mark Ellisman&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:00''': UCLA, Arthur Toga&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:15''': Outreach: Training &amp;amp; [[media:2008 NA-MIC AHM Dissemination.ppt|Dissemination]], Randy Gollub&amp;lt;br&amp;gt;&lt;br /&gt;
'''11:25''': Invited speaker: Mike Sherman, Stanford NCBC Simbios, SimTK Architect&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Lunch &amp;lt;br&amp;gt; [[DBP Engineering Resource|DPB Engineers Lunch meeting]]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Lunch&amp;lt;br&amp;gt; [[AHM 2008 fMRI|Birds of a Feather: fMRI]]&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Adjourn &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''1:00-3:00''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Introduce Projects and Participants &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Breakout: [[2008 Winter Project Week Geometry and Topology processing of Meshes|Geometry and Topology processing of Meshes]] [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amthyst 1]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; [[2008 Winter Project Week Tractography|Tractography Breakout Session contd]] &lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|&lt;br /&gt;
'''DBP results''' &amp;lt;br&amp;gt;&lt;br /&gt;
'''1:00''': [[Media:DBP2-Prostate-AHM2008.pdf | Queens/JHU]], David Gobbi&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:15''':UNC, Heather Cody Hazlett&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:30''':[[Media:NA-MIC_Kubicki.ppt | Harvard]], Marek Kubicki&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:45''':MIND/UNM, Jeremy Bockholt&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
'''NCBC Collaborations'''&amp;lt;br&amp;gt;&lt;br /&gt;
'''2:00''': [[Image:NA-MIC_Cleary_RF_Ablation_Georgetown.pdf | Georgetown, Kevin Cleary]]&amp;lt;br&amp;gt;&lt;br /&gt;
'''2:15''': [[Media:External-Wyatt-WFUSM.ppt‎|Wake Forest/VT, Chris Wyatt]]&amp;lt;br&amp;gt;&lt;br /&gt;
'''2:30''': [[Media:NA-MIC Mesh Collaboration - 2008.ppt| UIowa, Nicole Grosland,Vincent Magnotta]]&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''3:30-4:00''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''3:00-5:00''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|'''3:00-4:00''' Slicer Update [[Media:2008 NA-MIC AHM Slicer3.ppt | Slides]]&amp;lt;br&amp;gt;&lt;br /&gt;
'''4:00-5:00''' Breakout: [[2008 Winter Project Week EM Segmenter User Group|EM Segmenter User Group]] [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;[[2008_Winter_Project_Week_Image_Registration_Update| Registration Breakout]] [http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt;'''3:00-4:00''' [[2008 Winter Project Week Batchmake Update|Batchmake Update]]&amp;lt;br&amp;gt;[http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Amethyst 1]&lt;br /&gt;
[[2008 Winter Project Week Tractography|Tractography Breakout Session contd]] &amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|[[2008 EAB|EAB]]&amp;lt;br&amp;gt;[http://www.marriott.com/hotels/event-planning/floor-plans/slccc-salt-lake-city-marriott-city-center/ Olympus B]&amp;lt;br&amp;gt;'''3:00-4:00''' Discussion with NA-MIC Leadership&amp;lt;br&amp;gt; '''4:00-5:00''' Closed Session&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#b4d597; color:black&amp;quot;|'''5:00''' Optional: [[2008-SCI-tour|Tour]] of the new SCI building&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|'''6:00''' Optional: [http://www.skisaltlake.com/murphys.htm Beer at Murphy's] (like last year)&lt;br /&gt;
| style=&amp;quot;background:#ebeced; color:black&amp;quot;| &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Please note that there will be a Core 1&amp;amp;2 Site PI Retreat on the morning of Monday, January 7th. This is a closed session for Core 1&amp;amp;2 Site PIs, with no delegates. The topic is the competitive renewal.&lt;br /&gt;
&lt;br /&gt;
== Dates. Venue. Registration ==&lt;br /&gt;
&lt;br /&gt;
'''Dates:''' &lt;br /&gt;
* The All Hands Meeting and External Advisory Board Meeting will be held on '''Thursday, January 10th'''.  &lt;br /&gt;
* Project Activities will be held rest of the week between '''Monday, January 7th and Friday, January 11th'''.&lt;br /&gt;
&lt;br /&gt;
'''Venue:''' The venue for the meeting is [http://www.marriott.com/hotels/travel/slccc-salt-lake-city-marriott-city-center/ Marriot City Center, Salt Lake City, Utah] Mariott City Center, Salt Lake City, Utah. [http://marriott.com/property/meetingsandevents/floorplans/slccc (Floorplan)]. To reserve rooms at the meeting rate of $129/night, please either call the hotel at 1-801-961-8700 or 1-866-961-8700 (toll free) and mention that you are attending the NAMIC meeting or book online by using the code SCISCIA. Please note that we do need attendees to use this hotel in order to not incur additional charges for the use of conference rooms.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;big&amp;gt; '''Registration:''' We are charging a registration fee to all participants. The fee covers the costs of the facilities and food provided. In order to keep the fee low, we need to get a sufficient number of hotel nights by our participants. See above for more on this. Please click [http://www.sci.utah.edu/namic2008/registration.html '''here'''] for online registration. This registration must be completed by Friday, December 14, 2007. &amp;lt;/big&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Attendees ==&lt;br /&gt;
&lt;br /&gt;
Please note that unlike past events, registration will not be done on the wiki. Instead you need to follow [http://www.sci.utah.edu/namic2008/registration.html this registration link] to complete your online registration.  The organizers will periodically publish the list of registered attendees in the space below.  Attendees should '''NOT''' add their names in this section.&lt;br /&gt;
&lt;br /&gt;
This is the list of attendees who have registered as of January 5, 2008&lt;br /&gt;
&lt;br /&gt;
===AHM===&lt;br /&gt;
#	Michael J.	Ackerman, Ph.D.	National Library of Medicine	&lt;br /&gt;
#	Everette	Burdette	Acoustic MedSystems, Inc.	&lt;br /&gt;
#	German	Cavelier	NIHNIMH	&lt;br /&gt;
#	Kevin	Cleary	Georgetown University	collaborator&lt;br /&gt;
#	Zohara	Cohen	National Institutes of Health	&lt;br /&gt;
#	Jack	Collins	SAIC-Frederick, Inc.	&lt;br /&gt;
#	Gabor	Fichtinger	Queens University	&lt;br /&gt;
#	Chris	Johnson	External Advisory Board	EAB member&lt;br /&gt;
#	Danial	Lashkari	MIT	MIT&lt;br /&gt;
#	Mikhail	Milchenko	Washington University at St Louis	2&lt;br /&gt;
#	Sandy	Napel	Stanford	EAB member&lt;br /&gt;
#	Godfrey	Pearlson	Yale	EAB member&lt;br /&gt;
#	Fred	Prior	External Advisory Board	EAB member&lt;br /&gt;
#	Mike	Sherman	Stanford	Invited Speaker&lt;br /&gt;
#	Arthur	Toga	Laboratory of Neuro Imaging, UCLA	&lt;br /&gt;
#	Chris	Wyatt	Virginia Tech	Collaborator&lt;br /&gt;
#	Terry S.	Yoo	National Library of Medicine	&lt;br /&gt;
&lt;br /&gt;
===AHM and Project Event===&lt;br /&gt;
#	Douglas	Alan	Harvard University IIC	Collaborator&lt;br /&gt;
#	Luca	Antiga	Mario Negri Institute	&lt;br /&gt;
#	Kevin	Archie	Washington University School of Medicine	&lt;br /&gt;
#	Nicole	Aucoin	Brigham and Women's Hospital	2&lt;br /&gt;
#	Stephen	Aylward	Kitware, Inc.	&lt;br /&gt;
#	Serdar	Balci	MIT	&lt;br /&gt;
#	Sebastien	Barre	Kitware, Inc.	&lt;br /&gt;
#	Jack	Blevins	Acoustic MedSystems, Inc.	&lt;br /&gt;
#	Daniel	Blezek	Mayo Clinic	External&lt;br /&gt;
#	H Jeremy	Bockholt	The MIND Research Network	MIND DBP2&lt;br /&gt;
#	Sylvain	Bouix	Brigham and Womens Hospital	Psychiatry Neuroimaging Lab Core 3&lt;br /&gt;
#	Francois	Budin	Brigham and Womens Hospital	&lt;br /&gt;
#	Patrick	Cheng	Georgetown University	collaborator&lt;br /&gt;
#	Kiyoyuki	Chinzei	AIST, Japan	&lt;br /&gt;
#	Nikos	Chrisochoides	College of William and Mary	&lt;br /&gt;
#	Csaba 	Csoma	Johns Hopkins University	&lt;br /&gt;
#	Brad	Davis	Kitware, Inc.	&lt;br /&gt;
#	Preston Tom	Fletcher	SCI Institute	&lt;br /&gt;
#	Andreas	Freudling	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Yi	Gao	Georgia Tech	&lt;br /&gt;
#	Guido	Gerig	SCI Institute	&lt;br /&gt;
#	David	Gobbi	Queens University	DBP2&lt;br /&gt;
#	Polina	Golland	MIT	Core 1&lt;br /&gt;
#	Randy	Gollub	MGH Department of Psychiatry	Core 5&lt;br /&gt;
#	Casey	Goodlett	SCI Institute	&lt;br /&gt;
#	Alexandre	Gouaillard	Caltech	&lt;br /&gt;
#	Sylvain	Gouttard	SCI Institute	&lt;br /&gt;
#	Benjamin	Grauer	Brigham and Women's Hospital	Leadership Core &lt;br /&gt;
#	Jeffrey	Grethe	UCSD	2&lt;br /&gt;
#	Nicole	Grosland	The University of Iowa, CCAD	&lt;br /&gt;
#	Nathan	Hageman	UCLA	&lt;br /&gt;
#	Michael	Halle	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Nobuhiko	Hata	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Nobuhiko	Hata	Brigham and Women's Hospital	&lt;br /&gt;
#	Kathryn	Hayes	Brigham and Womens Hospital	2 - Engineering&lt;br /&gt;
#	Heather Cody 	Hazlett	University of North Carolina	DBP Core2&lt;br /&gt;
#	Bill	Hoffman	Kitware, Inc.	&lt;br /&gt;
#	Jaesung	Hong	Kyushu University	&lt;br /&gt;
#	Luis	Ibanez	Kitware, Inc.	&lt;br /&gt;
#	Mustafa Okan	Irfanoglu	OSU	&lt;br /&gt;
#	Firdaus	Janoos	ohio-state univ	&lt;br /&gt;
#	Julien	Jomier	Kitware, Inc.	&lt;br /&gt;
#	Usman	Khan	Brigham and Womens Hospital	&lt;br /&gt;
#	Ron	Kikinis	Brigham and Womens Hospital	Leadership Core&lt;br /&gt;
#	Marek 	Kubicki	Brigham and Womens Hospital	&lt;br /&gt;
#	Curtis 	Lisle	KnowledgeVis, LLC	2&lt;br /&gt;
#	Haiying	Liu	Brigham and Womens Hospital	&lt;br /&gt;
#	William	Lorensen	External Advisory Board	EAB&lt;br /&gt;
#	Raghu	Machiraju	The Ohio State University	&lt;br /&gt;
#	Vincent	Magnotta	The University of Iowa, CCAD	&lt;br /&gt;
#	Daniel	Marcus	Washington University	Core 2&lt;br /&gt;
#	Doug	Markant	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Katie	Mastrogiacomo	SPL, Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Sean	Megason	Caltech	&lt;br /&gt;
#	John	Melonakos	Georgia Tech	&lt;br /&gt;
#	James V	Miller	GE Global Research	&lt;br /&gt;
#	Vandana	Mohan	Georgia Inst of Technology	1&lt;br /&gt;
#	Kishore	Mosaliganti	The Ohio State University	&lt;br /&gt;
#	Tri	Ngo	MIT	&lt;br /&gt;
#	Ipek	Oguz	UNC	2&lt;br /&gt;
#	Steve	Pieper	Isomics, Inc.	2, 6&lt;br /&gt;
#	Carlo	Pierpaoli	NIH 	&lt;br /&gt;
#	Wendy	Plesniak	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Kilian	Pohl	Brigham and Women's Hospital	1&lt;br /&gt;
#	Marcel	Prastawa	SCI Institute	&lt;br /&gt;
#	Sonia	Pujol	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Katharina	Quintus	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Yogesh	Rathi	Brigham and Womens Hospital	&lt;br /&gt;
#	Mert	Sabuncu	MIT	&lt;br /&gt;
#	Will	Schroeder	Kitware, Inc.	&lt;br /&gt;
#	Mark	Scully	The MIND Research Network	&lt;br /&gt;
#	Li	Shen	Indiana University	&lt;br /&gt;
#	Kiran	Shivanna	The University of Iowa, CCAD	&lt;br /&gt;
#	Martin	Styner	UNC Chapel Hill	1&lt;br /&gt;
#	Padma	Sundaram	Brigham and Womens Hospital	Brigham and Womens&lt;br /&gt;
#	Xiaodong	Tao	GE	&lt;br /&gt;
#	Kinh	Tieu	Brigham and Women's Hospital	&lt;br /&gt;
#	Junichi	Tokuda	Brigham and Women's Hospital	Leadership Core&lt;br /&gt;
#	Clement	Vachet	UNC Chapel Hill	3&lt;br /&gt;
#	Koen	Van Leemput	MIT	&lt;br /&gt;
#	Sandy	Wells	Brigham and Womens Hospital	&lt;br /&gt;
#	Carl-Fredrik	Westin	Brigham and Womens Hospital	NAC&lt;br /&gt;
#	Nathan	Wilson	Cardiovascular Simulation, Inc.	&lt;br /&gt;
#	Alexander	Yarmarkovich	Isomics, Inc. Engineering Core 2&lt;br /&gt;
#	Anastasia	Yendiki	MGH	&lt;br /&gt;
#	Boon Thye	Yeo	MIT	&lt;br /&gt;
#	Tim	Yin	Stony Brook University	&lt;br /&gt;
&lt;br /&gt;
This is the list of attendees who have registered as of January 5, 2008. Please note that unlike past events, registration will not be done on the wiki. Instead you need to follow [http://www.sci.utah.edu/namic2008/registration.html this registration link] to complete your online registration.  The organizers will periodically publish the list of registered attendees in the space above.  Attendees should '''NOT''' add their names in this section.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2008_Winter_Project_Week_Tractography&amp;diff=21024</id>
		<title>2008 Winter Project Week Tractography</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2008_Winter_Project_Week_Tractography&amp;diff=21024"/>
		<updated>2008-01-09T20:48:08Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Tractography Validation Beadeker ==&lt;br /&gt;
&lt;br /&gt;
**9:00am:  Guido Gerig, Overview of Project goals and progress to date including Santa Fe meeting [http://www.na-mic.org/Wiki/index.php/Projects/Diffusion/Contrasting_Tractography_Measures tractography  methods see this page for background]&lt;br /&gt;
**9:15am: Randy Gollub, Morphometry BIRN DTI acquisition and analysis update [[Media:NA-MIC.2008.AHM.mBIRN.ppt |Morphometry BIRN DTI calibration]]&lt;br /&gt;
**9:25am: Randy Gollub, MIND Reliability dataset goals [[Media:NA-MIC.2008.AHM.MINDintro.ppt‎ |Impact of using MIND data for this project]]&lt;br /&gt;
&lt;br /&gt;
== Algorithm specific presentations ==&lt;br /&gt;
&lt;br /&gt;
**9:35  Sonia Pujol (BWH) Streamline Tractography in Slicer 2.7 using ROI and Whole Brain Seeding&lt;br /&gt;
**9:45  Sylvain Gouttard (Utah) FiberViewer&lt;br /&gt;
**9:55  Casey Goodlett (Utah) DTI Atlas &lt;br /&gt;
**10:05  John Melonakos (Georgia Tech) Geodesic Tractography Segmentation ([[media:AHM2008TractographyConferenceGeorgiaTech.ppt|slides]])&lt;br /&gt;
**10:15  Tri Ngo (MIT/BWH) Stochastic Tractography &lt;br /&gt;
**10:25  Vince Magnotta (UIowa) GTract&lt;br /&gt;
'''10:35am: Coffee break'''&lt;br /&gt;
**11:00  Tom Fletcher (Utah) Volumetric Connectivity ([[media:VolumetricPathwayResults_NAMIC_AHM2008.ppt|slides]])&lt;br /&gt;
**11:10  Sonia Pujol (BWH)  Cross algorithm summary statistics&lt;br /&gt;
&lt;br /&gt;
== Discussion, future planning ==&lt;br /&gt;
&lt;br /&gt;
**11:25 CF Westin to kick-off discussion of Tractography results with summarizing ideas. [[2008_Winter_Project_Week_Tractography_Meeting_Notes|Meeting Notes]]&lt;br /&gt;
'''12:00pm: Lunch'''&lt;br /&gt;
**1:00- 1:20pm Presentation of current status of Slicer 3 DTI infrastructure (Alex Yarmarkovich)[http://www.na-mic.org/Wiki/index.php/Slicer3:DTMRI Slicer3 DTI status]&lt;br /&gt;
**1:20-1:30pm  Dan Marcus to gather requirements to post this dataset for consideration of whether this is an XNATophilic project  &lt;br /&gt;
**1:30- 3:00pm Continue discussion of Tractography results with focus on:&lt;br /&gt;
***Data formats and coordinate system requirements/guidelines/recommendations&lt;br /&gt;
***Quality control methods and implementation&lt;br /&gt;
***ROIs: what works, what doesn't, what to do?&lt;br /&gt;
***Registration &amp;amp;/or resampling to support visit 1- visit 2 analysis and group analysis&lt;br /&gt;
***Freesurfer to B0 transform for white matter mask&lt;br /&gt;
***Quantification of registration error and its propagation forward and impact on final results&lt;br /&gt;
***Plans for data sharing curation and timeline (integration with XNAT project, should we make plans for a NAMIC sponsored MICCAI event: Tractography Grand Challenge e.g. the one done last year for segmentation? See http://mbi.dkfz-heidelberg.de/grand-challenge2007/)&lt;br /&gt;
***Outcome metrics and how to best frame scientific questions for this project, steps towards manuscript preparation, milestones for spring 2008 and for Programming Week in June&lt;br /&gt;
'''3pm: coffee break'''&lt;br /&gt;
*3-4PM Batchmake break-out session &lt;br /&gt;
**4:00pm  Guido to lead discussion of &amp;quot;NAMIC software infrastructure for DWI analysis&amp;quot; to clarify what the community expects from a powerful NAMIC DWI Analysis toolkit and identify areas of high priority development, keeping in mind the work already done by Alex (see 1 PM talk).&lt;br /&gt;
***Identify and agree upon essential processing steps (pipeline) necessary for clinical DTI studies&lt;br /&gt;
***Identify Core-1 modules and methods that are a) recently integrated, b) ready to be integrated, c) in development&lt;br /&gt;
***Integrate with other on-going efforts&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Back to [[AHM_2008]], [[Events]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:VolumetricPathwayResults_NAMIC_AHM2008.ppt&amp;diff=21023</id>
		<title>File:VolumetricPathwayResults NAMIC AHM2008.ppt</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:VolumetricPathwayResults_NAMIC_AHM2008.ppt&amp;diff=21023"/>
		<updated>2008-01-09T20:47:03Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18983</id>
		<title>Projects:DTIProcessingTools</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18983"/>
		<updated>2007-12-09T23:32:34Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= DTI Processing and Statistics Tools =&lt;br /&gt;
&lt;br /&gt;
* ''Differential Geometry'' We will provide methods for computing geodesics and distances between diffusion tensors. Several different metrics will be made available, including a simple linear metric and also a symmetric space (curved) metric. These routines are the building blocks for the routines below.&lt;br /&gt;
&lt;br /&gt;
* ''Statistics'' Given a collection of diffusion tensors, compute the average and covariance statistics. This can be done using the metrics and geometry routines above. A general method for testing differences between groups is planned. The hypothesis test also depends on the underlying geometry used.&lt;br /&gt;
&lt;br /&gt;
* ''Interpolation'' Interpolation routines will be implemented as a weighted averaging of diffusion tensors in the metric framework. The metric may be chosen so that the interpolation preserves desired properties of the tensors, e.g., orientation, size, etc.&lt;br /&gt;
&lt;br /&gt;
* ''Filtering'' We will provide anisotropic filtering of DTI using the full tensor data (as opposed to component-wise filtering). Filtering will also be able to use the different metrics, allowing control over what properties of the tensors are preserved in the smoothing. We have also developed methods for filtering the original diffusion weighted images (DWIs) that takes the Rician distribution of MR noise into account (see MICCAI 2006 paper below).&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* ''Eddy Current Correction'' We implemented the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIregistration.png|thumb|512px|Coronal slice from a unregisted DTI (left). The same slice after applying the registration model (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
[1] G.K.Rohde, A.S.Barnett, P.J.Basser, S.Marenco, and C.Pierpaoli, et al., &amp;quot;Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI,&amp;quot; Magnetic Resonance in Medicine 51:103-114(2004)&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
* Developed a Slicer module for our DT-MRI Rician noise removal during the [[2007_Project_Half_Week|2007 Project Half Week]]. Also enhanced the method by including an automatic method for determining the noise sigma in the image.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI geometry package. This includes an abstract class for computing distances and geodesics between tensors, while derived classes can specify the particular metric to use. Current implemented subclasses are the basic linear metric and the symmetric space metric.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI statistical package. A general class has been developed for computing averages and principal modes of variation of tensor data. The statistics class can use any of the metrics described above.&lt;br /&gt;
&lt;br /&gt;
* We have begun work on a general method for hypothesis testing of differences in two diffusion tensor groups. This method works on the full six-dimensional tensor information, rather than derived measures. The hypothesis testing class can also use any of the different tensor metrics.&lt;br /&gt;
&lt;br /&gt;
* Participated in the [[Engineering:Programmers_Week_Summer_2005|Programmer's Week]] (June 2005, Boston). During this week the DTI statistics code was developed and added to the NA-MIC toolkit. See our [[Progress_Report:Diffusion_Tensor_Statistics|Progress Report (July 2005)]].&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Tom Fletcher, Ran Tao, Saurav Basu, Sylvain Gouttard, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;br /&gt;
&lt;br /&gt;
* S Basu, PT Fletcher, R Whitaker, Rician noise removal in diffusion tensor MRI, MICCAI 2006, pp. 117-125.&lt;br /&gt;
&lt;br /&gt;
* PT Fletcher, S Joshi, Riemannian geometry for the statistical analysis of diffusion tensor data, Signal Processing, vol. 87, pp. 250-262, 2007.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18982</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18982"/>
		<updated>2007-12-09T23:30:55Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
We are developing new methods in the areas of statistical shape analysis, MRI tissue segmentation, and diffusion tensor image processing and analysis. We are building shape analysis tools that can generate efficient statistical models appropriate for analyzing anatomical shape differences in the brain. We are developing a wide range of tools for diffusion tensor imaging, that span the entire pipeline from image processing to automatic white matter tract extraction to statistical testing of clinical hypotheses.&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; We have recently developed software for eddy current correction.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; PT Fletcher, R Tao, W-K Jeong, RT Whitaker, A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI, IPMI 2007, pp. 346-358.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
We have implemented an MRI tissue classification algorithm based on unsupervised non-parametric density estimation of tissue intensity classes.&lt;br /&gt;
[[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; T Tasdizen, S Awate, R Whitaker, A nonparametric, entropy-minimizing MRI tissue classification algorithm implementation using ITK, MICCAI 2005 Open-Source Workshop.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18981</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18981"/>
		<updated>2007-12-09T23:18:48Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; We have recently developed software for eddy current correction.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; PT Fletcher, R Tao, W-K Jeong, RT Whitaker, A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI, IPMI 2007, pp. 346-358.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
We have implemented an MRI tissue classification algorithm based on unsupervised non-parametric density estimation of tissue intensity classes.&lt;br /&gt;
[[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; T Tasdizen, S Awate, R Whitaker, A nonparametric, entropy-minimizing MRI tissue classification algorithm implementation using ITK, MICCAI 2005 Open-Source Workshop.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:TissueClassificationWithNeighborhoodStatistics&amp;diff=18980</id>
		<title>Projects:TissueClassificationWithNeighborhoodStatistics</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:TissueClassificationWithNeighborhoodStatistics&amp;diff=18980"/>
		<updated>2007-12-09T23:18:09Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= Tissue Classification with Neighborhood Statistics =&lt;br /&gt;
&lt;br /&gt;
We have implemented the MRI Tissue Classification Algorithm described in the reference below. Classes for non-parametric density estimation and automatic parameter selection have been implemented as the basic framework on which we build the classification algorithm.&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
* The stochastic non-parametric density estimation framework is very general and allows the user to change kernel types (we have coded isotropic Gaussian, but additional kernels can easily be derived from the same parent class) and sampler types (for example local vs. global image sampling as well as sampling in non-image data) as template parameters.&lt;br /&gt;
&lt;br /&gt;
* The classification class uses the stochastic non-parametric density estimation framework to implement the algorithm in the reference below.&lt;br /&gt;
&lt;br /&gt;
* An existing ITK bias correction method has been incorporated into the method.&lt;br /&gt;
&lt;br /&gt;
* Currently, we are registering atlas images to our data using the stand-alone LandmarkInitializedMutualInformationRegistration application. Ideally, we'd like to incorporate an exiting registration algorithm into our code so that classification can be carried out in one step. The initialization to the registration can be provided as command line arguments.&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Tolga Tasdizen, Suyash Awate, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= References =&lt;br /&gt;
* T Tasdizen, S Awate, R Whitaker, A nonparametric, entropy-minimizing MRI tissue classification algorithm implementation using ITK, MICCAI 2005 Open-Source Workshop.&lt;br /&gt;
&lt;br /&gt;
[http://www.na-mic.org/Special:Publications?text=Projects%3ATissueClassificationWithNeighborhoodStatistics&amp;amp;submit=Search&amp;amp;words=all&amp;amp;title=checked&amp;amp;keywords=checked&amp;amp;authors=checked&amp;amp;abstract=checked&amp;amp;sponsors=checked&amp;amp;searchbytag=checked| NA-MIC Publications Database]&lt;br /&gt;
&lt;br /&gt;
= Links =&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18979</id>
		<title>Projects:DTIProcessingTools</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18979"/>
		<updated>2007-12-09T23:13:25Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= DTI Processing and Statistics Tools =&lt;br /&gt;
&lt;br /&gt;
* 'Differential Geometry' We will provide methods for computing geodesics and distances between diffusion tensors. Several different metrics will be made available, including a simple linear metric and also a symmetric space (curved) metric. These routines are the building blocks for the routines below.&lt;br /&gt;
&lt;br /&gt;
* 'Statistics' Given a collection of diffusion tensors, compute the average and covariance statistics. This can be done using the metrics and geometry routines above. A general method for testing differences between groups is planned. The hypothesis test also depends on the underlying geometry used.&lt;br /&gt;
&lt;br /&gt;
* 'Interpolation' Interpolation routines will be implemented as a weighted averaging of diffusion tensors in the metric framework. The metric may be chosen so that the interpolation preserves desired properties of the tensors, e.g., orientation, size, etc.&lt;br /&gt;
&lt;br /&gt;
* 'Filtering' We will provide anisotropic filtering of DTI using the full tensor data (as opposed to component-wise filtering). Filtering will also be able to use the different metrics, allowing control over what properties of the tensors are preserved in the smoothing. We have also developed methods for filtering the original diffusion weighted images (DWIs) that takes the Rician distribution of MR noise into account (see MICCAI 2006 paper below).&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* 'Eddy Current Correction' We implemented the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIregistration.png|thumb|512px|Coronal slice from a unregisted DTI (left). The same slice after applying the registration model (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
[1] G.K.Rohde, A.S.Barnett, P.J.Basser, S.Marenco, and C.Pierpaoli, et al., &amp;quot;Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI,&amp;quot; Magnetic Resonance in Medicine 51:103-114(2004)&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
* Developed a Slicer module for our DT-MRI Rician noise removal during the [[2007_Project_Half_Week|2007 Project Half Week]]. Also enhanced the method by including an automatic method for determining the noise sigma in the image.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI geometry package. This includes an abstract class for computing distances and geodesics between tensors, while derived classes can specify the particular metric to use. Current implemented subclasses are the basic linear metric and the symmetric space metric.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI statistical package. A general class has been developed for computing averages and principal modes of variation of tensor data. The statistics class can use any of the metrics described above.&lt;br /&gt;
&lt;br /&gt;
* We have begun work on a general method for hypothesis testing of differences in two diffusion tensor groups. This method works on the full six-dimensional tensor information, rather than derived measures. The hypothesis testing class can also use any of the different tensor metrics.&lt;br /&gt;
&lt;br /&gt;
* Participated in the [[Engineering:Programmers_Week_Summer_2005|Programmer's Week]] (June 2005, Boston). During this week the DTI statistics code was developed and added to the NA-MIC toolkit. See our [[Progress_Report:Diffusion_Tensor_Statistics|Progress Report (July 2005)]].&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Tom Fletcher, Ran Tao, Sylvain Gouttard, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;br /&gt;
&lt;br /&gt;
* S Basu, PT Fletcher, R Whitaker, Rician noise removal in diffusion tensor MRI, MICCAI 2006, pp. 117-125.&lt;br /&gt;
&lt;br /&gt;
* PT Fletcher, S Joshi, Riemannian geometry for the statistical analysis of diffusion tensor data, Signal Processing, vol. 87, pp. 250-262, 2007.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18978</id>
		<title>Projects:DTIProcessingTools</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18978"/>
		<updated>2007-12-09T23:12:36Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= DTI Processing and Statistics Tools =&lt;br /&gt;
&lt;br /&gt;
* 'Differential Geometry' We will provide methods for computing geodesics and distances between diffusion tensors. Several different metrics will be made available, including a simple linear metric and also a symmetric space (curved) metric. These routines are the building blocks for the routines below.&lt;br /&gt;
&lt;br /&gt;
* 'Statistics' Given a collection of diffusion tensors, compute the average and covariance statistics. This can be done using the metrics and geometry routines above. A general method for testing differences between groups is planned. The hypothesis test also depends on the underlying geometry used.&lt;br /&gt;
&lt;br /&gt;
* 'Interpolation' Interpolation routines will be implemented as a weighted averaging of diffusion tensors in the metric framework. The metric may be chosen so that the interpolation preserves desired properties of the tensors, e.g., orientation, size, etc.&lt;br /&gt;
&lt;br /&gt;
* 'Filtering' We will provide anisotropic filtering of DTI using the full tensor data (as opposed to component-wise filtering). Filtering will also be able to use the different metrics, allowing control over what properties of the tensors are preserved in the smoothing. We have also developed methods for filtering the original diffusion weighted images (DWIs) that takes the Rician distribution of MR noise into account (see MICCAI 2006 paper below).&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* 'Eddy Current Correction' We implemented the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIregistration.png|thumb|512px|Coronal slice from a unregisted DTI (left). The same slice after applying the registration model (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
[1] G.K.Rohde, A.S.Barnett, P.J.Basser, S.Marenco, and C.Pierpaoli, et al., &amp;quot;Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI,&amp;quot; Magnetic Resonance in Medicine 51:103-114(2004)&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
* Developed a Slicer module for our DT-MRI Rician noise removal during the [[2007_Project_Half_Week|2007 Project Half Week]]. Also enhanced the method by including an automatic method for determining the noise sigma in the image.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI geometry package. This includes an abstract class for computing distances and geodesics between tensors, while derived classes can specify the particular metric to use. Current implemented subclasses are the basic linear metric and the symmetric space metric.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI statistical package. A general class has been developed for computing averages and principal modes of variation of tensor data. The statistics class can use any of the metrics described above.&lt;br /&gt;
&lt;br /&gt;
* We have begun work on a general method for hypothesis testing of differences in two diffusion tensor groups. This method works on the full six-dimensional tensor information, rather than derived measures. The hypothesis testing class can also use any of the different tensor metrics.&lt;br /&gt;
&lt;br /&gt;
* Participated in the [[Engineering:Programmers_Week_Summer_2005|Programmer's Week]] (June 2005, Boston). During this week the DTI statistics code was developed and added to the NA-MIC toolkit. See our [[Progress_Report:Diffusion_Tensor_Statistics|Progress Report (July 2005)]].&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Tom Fletcher, Ran Tao, Sylvain Gouttard, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;br /&gt;
&lt;br /&gt;
* S Basu, PT Fletcher, R Whitaker, Rician noise removal in diffusion tensor MRI, MICCAI 2006, pp. 117-125.&lt;br /&gt;
&lt;br /&gt;
* PT Fletcher, S Joshi, Riemannian geometry for the statistical analysis, Signal Processing, vol. 87, pp. 250-262, 2007.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18977</id>
		<title>Projects:DTIProcessingTools</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18977"/>
		<updated>2007-12-09T23:08:27Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= DTI Processing and Statistics Tools =&lt;br /&gt;
&lt;br /&gt;
* 'Differential Geometry' We will provide methods for computing geodesics and distances between diffusion tensors. Several different metrics will be made available, including a simple linear metric and also a symmetric space (curved) metric. These routines are the building blocks for the routines below.&lt;br /&gt;
&lt;br /&gt;
* 'Statistics' Given a collection of diffusion tensors, compute the average and covariance statistics. This can be done using the metrics and geometry routines above. A general method for testing differences between groups is planned. The hypothesis test also depends on the underlying geometry used.&lt;br /&gt;
&lt;br /&gt;
* 'Interpolation' Interpolation routines will be implemented as a weighted averaging of diffusion tensors in the metric framework. The metric may be chosen so that the interpolation preserves desired properties of the tensors, e.g., orientation, size, etc.&lt;br /&gt;
&lt;br /&gt;
* 'Filtering' We will provide anisotropic filtering of DTI using the full tensor data (as opposed to component-wise filtering). Filtering will also be able to use the different metrics, allowing control over what properties of the tensors are preserved in the smoothing. We have also developed methods for filtering the original diffusion weighted images (DWIs) that takes the Rician distribution of MR noise into account (see MICCAI 2006 paper below).&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* 'Eddy Current Correction' We implemented the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIregistration.png|thumb|512px|Coronal slice from a unregisted DTI (left). The same slice after applying the registration model (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
[1] G.K.Rohde, A.S.Barnett, P.J.Basser, S.Marenco, and C.Pierpaoli, et al., &amp;quot;Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI,&amp;quot; Magnetic Resonance in Medicine 51:103-114(2004)&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
* Developed a Slicer module for our DT-MRI Rician noise removal during the [[2007_Project_Half_Week|2007 Project Half Week]]. Also enhanced the method by including an automatic method for determining the noise sigma in the image.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI geometry package. This includes an abstract class for computing distances and geodesics between tensors, while derived classes can specify the particular metric to use. Current implemented subclasses are the basic linear metric and the symmetric space metric.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI statistical package. A general class has been developed for computing averages and principal modes of variation of tensor data. The statistics class can use any of the metrics described above.&lt;br /&gt;
&lt;br /&gt;
* We have begun work on a general method for hypothesis testing of differences in two diffusion tensor groups. This method works on the full six-dimensional tensor information, rather than derived measures. The hypothesis testing class can also use any of the different tensor metrics.&lt;br /&gt;
&lt;br /&gt;
* Participated in the [[Engineering:Programmers_Week_Summer_2005|Programmer's Week]] (June 2005, Boston). During this week the DTI statistics code was developed and added to the NA-MIC toolkit. See our [[Progress_Report:Diffusion_Tensor_Statistics|Progress Report (July 2005)]].&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Tom Fletcher, Ran Tao, Sylvain Gouttard, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:DTIVolumetricWhiteMatterConnectivity&amp;diff=18976</id>
		<title>Projects:DTIVolumetricWhiteMatterConnectivity</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:DTIVolumetricWhiteMatterConnectivity&amp;diff=18976"/>
		<updated>2007-12-09T23:07:30Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= DTI Volumetric White Matter Connectivity =&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. This work has been accepted to IPMI 2007.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:FiberTracts-top.jpg|thumb|256px|Five extracted fiber tracts (top view)]]&lt;br /&gt;
|[[Image:FiberTracts-angle.jpg|thumb|256px|Five extracted fiber tracts (side angle view)]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
''Effecient GPU implementation:'' We have recently implemented a fast solver for the volumetric white matter connectivity using graphics hardware, i.e., the Graphics Processing Unit (GPU). This method takes advantage of the massively parallel nature of modern GPUs and runs 50-100 times faster than a standard implementation on the CPU. The fast solver allows interactive visualization of white matter pathways. We have developed a user interface in which a user can select two endpoint regions for the white matter tract of interest, which is typically computed and displayed within 1-3 seconds. This work has been submitted to VIS 2007.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:GPU-tract.jpg|thumb|320px|A screen shot from the interactive white matter connectivity solver. Shown are two selected endpoint regions and the resulting white matter pathway.]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Tom Fletcher, Ran Tao, Won-Ki Jeong, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;br /&gt;
&lt;br /&gt;
* PT Fletcher, R Tao, W-K Jeong, RT Whitaker, A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI, IPMI 2007, pp. 346-358.&lt;br /&gt;
&lt;br /&gt;
[http://www.na-mic.org/Special:Publications?text=Projects%3ADTIVolumetricWhiteMatterConnectivity&amp;amp;submit=Search&amp;amp;words=all&amp;amp;title=checked&amp;amp;keywords=checked&amp;amp;authors=checked&amp;amp;abstract=checked&amp;amp;sponsors=checked&amp;amp;searchbytag=checked| NA-MIC Publications Database]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18975</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18975"/>
		<updated>2007-12-09T23:01:25Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; We have recently developed software for eddy current correction.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; PT Fletcher, R Tao, W-K Jeong, RT Whitaker, A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI, IPMI 2007, pp. 346-358.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
We have implemented an MRI tissue classification algorithm based on unsupervised non-parametric density estimation of tissue intensity classes.&lt;br /&gt;
[[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18974</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18974"/>
		<updated>2007-12-09T22:58:32Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; We have recently developed software for eddy current correction.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; PT Fletcher, R Tao, W-K Jeong, RT Whitaker, A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI, IPMI 2007, pp. 346-358.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 3.  Notice a representative image is chosen from the project and places in the left column. [[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18973</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18973"/>
		<updated>2007-12-09T22:56:14Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; PT Fletcher, R Tao, W-K Jeong, RT Whitaker, A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI, IPMI 2007, pp. 346-358.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 3.  Notice a representative image is chosen from the project and places in the left column. [[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:DTIVolumetricWhiteMatterConnectivity&amp;diff=18972</id>
		<title>Projects:DTIVolumetricWhiteMatterConnectivity</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:DTIVolumetricWhiteMatterConnectivity&amp;diff=18972"/>
		<updated>2007-12-09T22:54:25Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= DTI Volumetric White Matter Connectivity =&lt;br /&gt;
&lt;br /&gt;
* 'Differential Geometry' We will provide methods for computing geodesics and distances between diffusion tensors. Several different metrics will be made available, including a simple linear metric and also a symmetric space (curved) metric. These routines are the building blocks for the routines below.&lt;br /&gt;
&lt;br /&gt;
* 'Statistics' Given a collection of diffusion tensors, compute the average and covariance statistics. This can be done using the metrics and geometry routines above. A general method for testing differences between groups is planned. The hypothesis test also depends on the underlying geometry used.&lt;br /&gt;
&lt;br /&gt;
* 'Interpolation' Interpolation routines will be implemented as a weighted averaging of diffusion tensors in the metric framework. The metric may be chosen so that the interpolation preserves desired properties of the tensors, e.g., orientation, size, etc.&lt;br /&gt;
&lt;br /&gt;
* 'Filtering' We will provide anisotropic filtering of DTI using the full tensor data (as opposed to component-wise filtering). Filtering will also be able to use the different metrics, allowing control over what properties of the tensors are preserved in the smoothing. We have also developed methods for filtering the original diffusion weighted images (DWIs) that takes the Rician distribution of MR noise into account (see MICCAI 2006 paper below).&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* 'Relation to other NA-MIC projects:'&lt;br /&gt;
** DTI processing: filtering and interpolation are an input to further analysis, such as UNC fiber tract analysis and MGH atlas building.&lt;br /&gt;
** DTI statistics: (UNC) will be used in the analysis of tensor data along fiber tracts.&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
* Developed a Slicer module for our DT-MRI Rician noise removal during the [[2007_Project_Half_Week|2007 Project Half Week]]. Also enhanced the method by including an automatic method for determining the noise sigma in the image.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI geometry package. This includes an abstract class for computing distances and geodesics between tensors, while derived classes can specify the particular metric to use. Current implemented subclasses are the basic linear metric and the symmetric space metric.&lt;br /&gt;
&lt;br /&gt;
* Developed prototype of DTI statistical package. A general class has been developed for computing averages and principal modes of variation of tensor data. The statistics class can use any of the metrics described above.&lt;br /&gt;
&lt;br /&gt;
* We have begun work on a general method for hypothesis testing of differences in two diffusion tensor groups. This method works on the full six-dimensional tensor information, rather than derived measures. The hypothesis testing class can also use any of the different tensor metrics.&lt;br /&gt;
&lt;br /&gt;
* Participated in the [[Engineering:Programmers_Week_Summer_2005|Programmer's Week]] (June 2005, Boston). During this week the DTI statistics code was developed and added to the NA-MIC toolkit. See our [[Progress_Report:Diffusion_Tensor_Statistics|Progress Report (July 2005)]]. We are also involved in the [[Engineering:Project:Feature_Analysis_Framework|Statistical Feature Analysis Framework]] project with Martin Styner (UNC) and Jim Miller (GE).&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. This work has been accepted to IPMI 2007.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:FiberTracts-top.jpg|thumb|256px|Five extracted fiber tracts (top view)]]&lt;br /&gt;
|[[Image:FiberTracts-angle.jpg|thumb|256px|Five extracted fiber tracts (side angle view)]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
''Effecient GPU implementation:'' We have recently implemented a fast solver for the volumetric white matter connectivity using graphics hardware, i.e., the Graphics Processing Unit (GPU). This method takes advantage of the massively parallel nature of modern GPUs and runs 50-100 times faster than a standard implementation on the CPU. The fast solver allows interactive visualization of white matter pathways. We have developed a user interface in which a user can select two endpoint regions for the white matter tract of interest, which is typically computed and displayed within 1-3 seconds. This work has been submitted to VIS 2007.&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:GPU-tract.jpg|thumb|320px|A screen shot from the interactive white matter connectivity solver. Shown are two selected endpoint regions and the resulting white matter pathway.]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
''Software''&lt;br /&gt;
&lt;br /&gt;
The diffusion tensor statistics code is now part of the NA-MIC toolkit. To get the code, check out the NA-MIC SandBox (see instructions [[Engineering:SandBox|here]]) -- our code is in the &amp;quot;DiffusionTensorStatistics&amp;quot; directory.&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Tom Fletcher, Ran Tao, Won-Ki Jeong, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;br /&gt;
&lt;br /&gt;
* PT Fletcher, R Tao, W-K Jeong, RT Whitaker, A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI, IPMI 2007, pp. 346-358.&lt;br /&gt;
&lt;br /&gt;
[http://www.na-mic.org/Special:Publications?text=Projects%3ADTIVolumetricWhiteMatterConnectivity&amp;amp;submit=Search&amp;amp;words=all&amp;amp;title=checked&amp;amp;keywords=checked&amp;amp;authors=checked&amp;amp;abstract=checked&amp;amp;sponsors=checked&amp;amp;searchbytag=checked| NA-MIC Publications Database]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18971</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18971"/>
		<updated>2007-12-09T22:49:33Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
We have developed a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 3.  Notice a representative image is chosen from the project and places in the left column. [[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18970</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18970"/>
		<updated>2007-12-09T22:47:37Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 1.  Notice a representative image is chosen from the project and places in the left column. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 3.  Notice a representative image is chosen from the project and places in the left column. [[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18969</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18969"/>
		<updated>2007-12-09T22:46:28Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;10&amp;quot;&lt;br /&gt;
| style=&amp;quot;width:15%&amp;quot; | [[Image:Meanviews.png|200px]]&lt;br /&gt;
| style=&amp;quot;width:85%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; &lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIregistration200.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde et al. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction. &lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 1.  Notice a representative image is chosen from the project and places in the left column. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 3.  Notice a representative image is chosen from the project and places in the left column. [[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:ParticlesForShapesAndComplexes&amp;diff=18968</id>
		<title>Projects:ParticlesForShapesAndComplexes</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:ParticlesForShapesAndComplexes&amp;diff=18968"/>
		<updated>2007-12-09T22:44:37Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= Adaptive, Particle-Based Sampling for Shapes and Complexes = &lt;br /&gt;
&lt;br /&gt;
This research is a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires&lt;br /&gt;
very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. &lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
The proposed method is to construct a point-based sampling of the shape ensemble that simultaneously maximizes both the geometric accuracy and the statistical simplicity of the model. Surface point samples, which also define the shape-to-shape correspondences, are modeled as sets of dynamic particles that are constrained to lie on a set of implicit surfaces. Sample positions are optimized by gradient descent on an energy function that balances the negative entropy of the distribution on each shape with the positive entropy of the ensemble of shapes. We also extend the method with a curvature-adaptive sampling strategy in order to better approximate the geometry of the objects. We have developed code based on ITK for computation of correspondence-based models, and have validated out method in several papers against several synthetic and real examples in two and three dimensions, including application to the statistical shape analysis of brain structures. We used hippocampus data from a schizo-typal personality disorder (SPD) study funded by the Stanley Foundation and UNC-MHNCRC (MH33127), and caudate data from a schizophrenia study funded by NIMH R01 MH 50740 (Shenton), NIH K05 MH 01110 (Shenton), NIMH R01 MH 52807 (McCarley), and a VA Merit Award (Shenton). &lt;br /&gt;
&lt;br /&gt;
Figure 1,2 illustrates results of hypothesis testing for group differences from the control population for the left/right hippocampus and the left/right caudate.  Raw and FDR-corrected p-values are given. Areasof significant group differences (p &amp;lt;= 0.05) are shown as dark regions. Areas with insignificant group differences (p &amp;gt; 0.05) are shown as light regions.  Our results correlate with  with other published hypothesis testing results on this data.&lt;br /&gt;
&lt;br /&gt;
Our most recent work is in the application of the particle method to multi-object shape complexes. We have developed a novel method for computing surface point correspondences of multi-object anatomy that is a straightforward extension of the particle method for single-object anatomy.  The correspondences take advantage of the statistical structure of an ensemble of complexes, and thus they are suitable for joint statistical analyses of shape and relative pose. The proposed method uses a dynamic particle system to optimize correspondence point positions across all structures in a complex simultaneously, in order to create a compact model of ensemble statistics. It is a different approach from previous methods for dealing with shape complexes, because to date researchers have considered the correspondence problem only for each structure independently, and have ignored intermodel correlations in the shape parameterization.  These correlations are&lt;br /&gt;
particularly important when the correspondences are constructed in order to reduce or minimize the information content of the ensemble.  &lt;br /&gt;
&lt;br /&gt;
[[Image:Lcomb-grayscale.png|thumbnail|Figure 1]]&lt;br /&gt;
[[Image:Rcomb-grayscale.png|thumbnail|Figure 2]]&lt;br /&gt;
&lt;br /&gt;
We have developed a formulation of the multi-object correspondence optimization, and have applied it to a proof-of-concept application to the analysis of brain structure complexes from a longitudinal study of pediatric autism that is underway at UNC Chapel Hill.  This work is in conjunction with Martin Styner, Heather Cody Hazlett, and Joe Piven.  Figure 3 shows the raw p-values from hypothesis testing for group differences as color-maps on mean shapes of the autism group (top row) and the normal control group (bottom row).  Red indicates areas where significant group differences were found (p &amp;lt; 0.05), with blue elsewhere (p &amp;gt;= 0.05).  The top row shows the results when relative geometric scale is included, and the bottom shows relative scale removed.  Structures are shown in the their mean orientations, positions, and scale in the global coordinate frame.  We computed the average orientation for each structure using methods for averaging in curved spaces.&lt;br /&gt;
&lt;br /&gt;
[[Image:meanviews.png|thumbnail|Figure 3]]&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
Josh Cates, Tom Fletcher, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;br /&gt;
&lt;br /&gt;
* J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker, Shape modeling and analysis with entropy-based particle systems, IPMI 2007, pp. 333-345.&lt;br /&gt;
&lt;br /&gt;
* J Cates, PT Fletcher, R Whitaker, Entropy-Based Particle Systems for Shape Correspondence, MICCAI 2006 Workshop on Mathematical Foundations of Computational Anatomy (MFCA), pp. 90-99.&lt;br /&gt;
&lt;br /&gt;
[http://www.na-mic.org/Special:Publications?text=Projects%3AParticlesForShapesAndComplexes&amp;amp;submit=Search&amp;amp;words=all&amp;amp;title=checked&amp;amp;keywords=checked&amp;amp;authors=checked&amp;amp;abstract=checked&amp;amp;sponsors=checked&amp;amp;searchbytag=checked| NA-MIC Publications Database]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18331</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18331"/>
		<updated>2007-11-28T22:25:47Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | [[Image:Meanviews.png|thumb|left|200px]]&lt;br /&gt;
| style=&amp;quot;width:90%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 2.  Notice a representative image is chosen from the project and places in the left column. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIFiltering.jpg|thumb|left|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 1.  Notice a representative image is chosen from the project and places in the left column. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:FiberTracts-angle.jpg|thumb|left|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 1.  Notice a representative image is chosen from the project and places in the left column. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|thumb|left|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 3.  Notice a representative image is chosen from the project and places in the left column. [[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18330</id>
		<title>Projects:DTIProcessingTools</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:DTIProcessingTools&amp;diff=18330"/>
		<updated>2007-11-28T22:24:07Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: New page:  Back to NA-MIC_Collaborations, Utah Algorithms  = DTI Processing Tools =  * 'Differential Geometry' We will provide methods for computing geod...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]&lt;br /&gt;
&lt;br /&gt;
= DTI Processing Tools =&lt;br /&gt;
&lt;br /&gt;
* 'Differential Geometry' We will provide methods for computing geodesics and distances between diffusion tensors. Several different metrics will be made available, including a simple linear metric and also a symmetric space (curved) metric. These routines are the building blocks for the routines below.&lt;br /&gt;
&lt;br /&gt;
* 'Statistics' Given a collection of diffusion tensors, compute the average and covariance statistics. This can be done using the metrics and geometry routines above. A general method for testing differences between groups is planned. The hypothesis test also depends on the underlying geometry used.&lt;br /&gt;
&lt;br /&gt;
* 'Interpolation' Interpolation routines will be implemented as a weighted averaging of diffusion tensors in the metric framework. The metric may be chosen so that the interpolation preserves desired properties of the tensors, e.g., orientation, size, etc.&lt;br /&gt;
&lt;br /&gt;
* 'Filtering' We will provide anisotropic filtering of DTI using the full tensor data (as opposed to component-wise filtering). Filtering will also be able to use the different metrics, allowing control over what properties of the tensors are preserved in the smoothing. We have also developed methods for filtering the original diffusion weighted images (DWIs) that takes the Rician distribution of MR noise into account (see MICCAI 2006 paper below).&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= Description =&lt;br /&gt;
&lt;br /&gt;
= Key Investigators =&lt;br /&gt;
&lt;br /&gt;
= Publications =&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18329</id>
		<title>Algorithm:Utah</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Algorithm:Utah&amp;diff=18329"/>
		<updated>2007-11-28T22:21:48Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[Algorithm:Main|NA-MIC Algorithms]]&lt;br /&gt;
__NOTOC__&lt;br /&gt;
= Overview of Utah Algorithms =&lt;br /&gt;
&lt;br /&gt;
A brief overview of the Utah's algorithms goes here.  This should not be much longer than a paragraph.  Remember that people visiting your site want to be able to understand very quickly what you're all about and then they want to jump into your site's projects.  The projects below are organized into a two column table:  the left column is for representative images and the right column is for project overviews.  The number of rows corresponds to the number of projects at your site.  Put the most interesting and relevant projects at the top of the table.  You do not need to organize the table according to subject matter (i.e. do not group all segmentation projects together and all DWI projects together).&lt;br /&gt;
&lt;br /&gt;
= Utah Projects =&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | [[Image:Meanviews.png|thumb|left|200px]]&lt;br /&gt;
| style=&amp;quot;width:90%&amp;quot; |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:ParticlesForShapesAndComplexes|Adaptive, Particle-Based Sampling for Shapes and Complexes]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 2.  Notice a representative image is chosen from the project and places in the left column. [[Projects:ParticlesForShapesAndComplexes|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIFiltering.jpg|thumb|left|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIProcessingTools|Diffusion Tensor Image Processing Tools]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 1.  Notice a representative image is chosen from the project and places in the left column. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:DTIFiltering.jpg|thumb|left|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:DTIVolumetricWhiteMatterConnectivity|DTI Volumetric White Matter Connectivity]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 1.  Notice a representative image is chosen from the project and places in the left column. [[Projects:DTIVolumetricWhiteMatterConnectivity|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
| | [[Image:brain.png|thumb|left|200px]]&lt;br /&gt;
| |&lt;br /&gt;
&lt;br /&gt;
== [[Projects:TissueClassificationWithNeighborhoodStatistics| Tissue Classification with Neighborhood Statistics]] ==&lt;br /&gt;
&lt;br /&gt;
Here we write a very brief description of Project 3.  Notice a representative image is chosen from the project and places in the left column. [[Projects:TissueClassificationWithNeighborhoodStatistics|More...]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;'''New: '''&amp;lt;/font&amp;gt; Here we give something new and exciting about the project.  The most recent publication on this project is very appropriate for this slot.&lt;br /&gt;
&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Slicer3:Module:Rician_Noise_Removal&amp;diff=15675</id>
		<title>Slicer3:Module:Rician Noise Removal</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Slicer3:Module:Rician_Noise_Removal&amp;diff=15675"/>
		<updated>2007-09-19T17:05:25Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Module Description */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===Module Name===&lt;br /&gt;
Rician Noise Removal in Diffusion Tensor MRI (DWI and tensors)&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:RicianTensorCorrectionImage.png|thumb|280px|Caption 1]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== General Information ==&lt;br /&gt;
===Module Type &amp;amp; Category===&lt;br /&gt;
&lt;br /&gt;
Type: CLI&lt;br /&gt;
&lt;br /&gt;
Category: Filtering DWI and tensors&lt;br /&gt;
&lt;br /&gt;
===Authors, Collaborators &amp;amp; Contact===&lt;br /&gt;
* Saurav Basu: University of Utah&lt;br /&gt;
* Tom Fletcher, University of Utah&lt;br /&gt;
* Ross Whitaker, University of Utah&lt;br /&gt;
* Sylvain Gouttard, University of Utah&lt;br /&gt;
* Contact: Tom Fletcher&lt;br /&gt;
&lt;br /&gt;
===Module Description===&lt;br /&gt;
Rician noise introduces a bias into MRI measurements that can have a signiﬁcant impact on the shapes and orientations of tensors in diﬀusion tensor magnetic resonance images. This is less of a problem in structural MRI, because this bias is signal dependent and it does not seriously impair tissue identiﬁcation or clinical diagnoses. However, diﬀusion imaging is used extensively for quantitative evaluations, and the tensors used in those evaluations are biased in ways that depend on orientation and signal levels. This module implements the algorithm developed by Basu, et al. for ﬁltering diﬀusion tensor magnetic resonance images. The method is a maximum a posteriori estimation technique that operates directly on the diﬀusion weighted images and accounts for the biases introduced by Rician noise. We account for Rician noise through a data likelihood term that is combined with a spatial smoothing prior. Also included in the module are several other approaches from the literature, including methods that ﬁlter diffusion weighted imagery and those that operate directly on the diﬀusion tensors. These methods are compared in [Basu, et al. 2006], where it is shown that the Rician filter gives the best overall results.&lt;br /&gt;
&lt;br /&gt;
== Usage ==&lt;br /&gt;
&lt;br /&gt;
===DWI filtering===&lt;br /&gt;
&lt;br /&gt;
====Examples, Use Cases &amp;amp; Tutorials====&lt;br /&gt;
&lt;br /&gt;
USAGE&lt;br /&gt;
--------------&lt;br /&gt;
dwiFilter &amp;lt;arguments&amp;gt;&lt;br /&gt;
Arguments:&lt;br /&gt;
1. Input File Name&lt;br /&gt;
2. Output File Name&lt;br /&gt;
3. NumIterations&lt;br /&gt;
4. Conductance&lt;br /&gt;
5. TimeStep&lt;br /&gt;
6. Filter Type : (Simple Aniso-0,Chi Squared-1,Rician-2,Gaussian-3)&lt;br /&gt;
7. Sigma for bias correction&lt;br /&gt;
8. Lamda (Rician Correction Term)&lt;br /&gt;
9. Lamda (Gaussian Correction Term)&lt;br /&gt;
&lt;br /&gt;
Argument Description:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Input File Name&amp;gt; &lt;br /&gt;
Name of the DWI file to be filtered. For example&lt;br /&gt;
&amp;lt;noisyDWI_10.nhdr&amp;gt; is a noisy DWI file provided&lt;br /&gt;
in the data directory. It was generated by adding &lt;br /&gt;
synthetic Rician noise with a sigma=10 to a cleanDWI.nhdr&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Output File Name&amp;gt;&lt;br /&gt;
Name of the filtered DWI file. For example&lt;br /&gt;
&amp;lt;filteredDWI.nhdr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;NumIterations&amp;gt;&lt;br /&gt;
Number of iterations you want to run the filter for.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Conductance&amp;gt;&lt;br /&gt;
The value of the conductance term in anisotropic &lt;br /&gt;
diffusion filtering (Ex: 1.0)&lt;br /&gt;
Note: Large Conductance will oversmooth the image&lt;br /&gt;
It is important to tune the conductance to obtain&lt;br /&gt;
best results.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Time Step&amp;gt;&lt;br /&gt;
This determines the step size in the gradient&lt;br /&gt;
descent. It can be atmost 0.0625.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Filter Type&amp;gt;&lt;br /&gt;
Can Take 3 values:&lt;br /&gt;
0 means perform simple anisotropic diffusion&lt;br /&gt;
   &lt;br /&gt;
* - 1 means perform Chi-Squared smoothing (square the image and perform anisotropic diffusion and then subtract the variance of the noise, and take square root. (The square of a Rice distribution is a Chi Squared distribution with known bias equal to the variance of the noise) (Refer:Max likelihood Est. of Rician Ditribution Parameters. Sijbers et. al)&lt;br /&gt;
* - 2 means Perform Rician bias correction filtering.(Refer: Rician Noise Removal in DT-MRI.)&lt;br /&gt;
* - 3 is same as 2 except use a Gaussian Attachment Term .&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Sigma&amp;gt;&lt;br /&gt;
Estimate of noise in the data.&lt;br /&gt;
This can be done by squaring the airvoxels&lt;br /&gt;
in the real data. The sum of square of all&lt;br /&gt;
the intensities in the air region should equal&lt;br /&gt;
2*variance of the noise in the data.&lt;br /&gt;
(Sijbers et. al)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;lamda1, lamda2&amp;gt;&lt;br /&gt;
The weights for the Rician and Gaussian &lt;br /&gt;
attachment terms. &lt;br /&gt;
&lt;br /&gt;
EXAMPLE&lt;br /&gt;
-------------&lt;br /&gt;
dwiFilter ../data/noisyDWI_10.nhdr filteredDWI.nhdr 1 1.0 0.0625 2 10 100 0&lt;br /&gt;
&lt;br /&gt;
Filters the noisyDWI_10.nhdr for 1 iteration with a conductance of 1.0&lt;br /&gt;
timeStep 0.0625 using Rician filtering with a Rician attachement term&lt;br /&gt;
weight of 100. The estimate of noise in the input image is a sigma of 10&lt;br /&gt;
The filtered image is filteredDWI.nhdr.&lt;br /&gt;
&lt;br /&gt;
===Tensor filtering===&lt;br /&gt;
&lt;br /&gt;
Usage&lt;br /&gt;
--------------&lt;br /&gt;
tensorDiffuse &amp;lt;Arguments&amp;gt;&lt;br /&gt;
1. FilterType:(0-Euclidean, 1-Log Space,2-Riemannian)&lt;br /&gt;
2. numIterations:Iterations For Anisotropic Diffusion&lt;br /&gt;
3. timeStep:timeStep Used in Anisotropic Diffusion&lt;br /&gt;
4. conductance:Conductance used for Anisotropic Diffusion&lt;br /&gt;
5. Input (filename of input data)&lt;br /&gt;
6. Output (filename of output data)&lt;br /&gt;
&lt;br /&gt;
Arguments 2,3,4 have the same meaning as described for dwiFilter (see above).&lt;br /&gt;
&lt;br /&gt;
Argument 1 describes the filter type&lt;br /&gt;
* - 0: Euclidean Space filtering (tensors are treated as 6-d vectors)&lt;br /&gt;
* - 1: Log Space filtering (Fast and Simple Calculus on Tensors in the Log-Euclidean Framework. In J. Duncan and G. Gerig, editors, Proceedings of the 8th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Part I, volume 3749 of LNCS, Palm Springs, CA, USA, October 26-29, pages 115-122, 2005. Springer Verlag)&lt;br /&gt;
* - 2. Riemannian Space Filtering(A Riemannian Framework for the Processing of Tensor-Valued Images. In Ole Fogh Olsen, Luc Florak, and Arjan Kuijper, editors, Deep Structure, Singularities, and Computer Vision (DSSCV), number 3753 of LNCS, pages 112-123, June 2005. Springer Verlag.)&lt;br /&gt;
&lt;br /&gt;
Currently, the Riemannian filter adjustment for negative eigen-values&lt;br /&gt;
is hard-coded in the source file.&lt;br /&gt;
&lt;br /&gt;
Argument 5 is the name of the noisyTensor input.&lt;br /&gt;
Argument 6 is the name of the output tensor file&lt;br /&gt;
&lt;br /&gt;
EXAMPLE&lt;br /&gt;
--------------&lt;br /&gt;
tensorFilter 2 1 0.0625 1.0 noisyTensor_10.nhdr FilteredTensor.nhrd&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Quick Tour of Features and Use===&lt;br /&gt;
List all the panels in your interface, their features, what they mean, and how to use them. For instance:&lt;br /&gt;
&lt;br /&gt;
* '''Input panel:'''&lt;br /&gt;
* '''Parameters panel:'''&lt;br /&gt;
* '''Output panel:'''&lt;br /&gt;
* '''Viewing panel:'''&lt;br /&gt;
&lt;br /&gt;
== Development ==&lt;br /&gt;
&lt;br /&gt;
===Known bugs===&lt;br /&gt;
&lt;br /&gt;
Follow this link to the Slicer3 bug tracker: &lt;br /&gt;
&lt;br /&gt;
http://na-mic.org/Mantis/main_page.php&lt;br /&gt;
&lt;br /&gt;
===Usability issues===&lt;br /&gt;
&lt;br /&gt;
Follow this link to the Slicer3 bug tracker. Please select the '''usability issue category''' when browsing or contributing:&lt;br /&gt;
&lt;br /&gt;
http://na-mic.org/Mantis/main_page.php&lt;br /&gt;
&lt;br /&gt;
===Source code &amp;amp; documentation===&lt;br /&gt;
&lt;br /&gt;
Customize following links for your module:&lt;br /&gt;
&lt;br /&gt;
http://www.na-mic.org/ViewVC/index.cgi/&lt;br /&gt;
&lt;br /&gt;
Links to documentation generated by doxygen:&lt;br /&gt;
&lt;br /&gt;
http://www.na-mic.org/Slicer/Documentation/Slicer3/html/&lt;br /&gt;
&lt;br /&gt;
== More Information == &lt;br /&gt;
&lt;br /&gt;
===Acknowledgement===&lt;br /&gt;
This work is part of the National Alliance for Medical Image Computing&lt;br /&gt;
(NAMIC), funded by the National Institutes of Health through the NIH Roadmap&lt;br /&gt;
for Medical Research, Grant U54 EB005149. Information on the National Centers&lt;br /&gt;
for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/&lt;br /&gt;
bioinformatics. Funding for this work has also been provided by Center for&lt;br /&gt;
Integrative Biomedical Computing, NIH NCRR Project 2-P41-RR12553-07. We&lt;br /&gt;
thank Weili Lin and Guido Gerig from the University of North Carolina for&lt;br /&gt;
providing us with the DW-MRI data. Glyph visualizations created with Teem&lt;br /&gt;
(http://teem.sf.net).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===References===&lt;br /&gt;
Basu, S., Fletcher, P.T., Whitaker, R.T. Rician Noise Removal in Diffusion Tensor MRI. In Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 4190, pp. 117-125, October, 2006.&lt;br /&gt;
[[http://www.sci.utah.edu/~fletcher/BasuDTIFilteringMICCAI2006.pdf | Paper link ]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Slicer3:Module:Rician_Noise_Removal&amp;diff=15671</id>
		<title>Slicer3:Module:Rician Noise Removal</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Slicer3:Module:Rician_Noise_Removal&amp;diff=15671"/>
		<updated>2007-09-19T16:56:06Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Authors, Collaborators &amp;amp; Contact */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===Module Name===&lt;br /&gt;
Rician Noise Removal in Diffusion Tensor MRI (DWI and tensors)&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:RicianTensorCorrectionImage.png|thumb|280px|Caption 1]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== General Information ==&lt;br /&gt;
===Module Type &amp;amp; Category===&lt;br /&gt;
&lt;br /&gt;
Type: CLI&lt;br /&gt;
&lt;br /&gt;
Category: Filtering DWI and tensors&lt;br /&gt;
&lt;br /&gt;
===Authors, Collaborators &amp;amp; Contact===&lt;br /&gt;
* Saurav Basu: University of Utah&lt;br /&gt;
* Tom Fletcher, University of Utah&lt;br /&gt;
* Ross Whitaker, University of Utah&lt;br /&gt;
* Sylvain Gouttard, University of Utah&lt;br /&gt;
* Contact: Tom Fletcher&lt;br /&gt;
&lt;br /&gt;
===Module Description===&lt;br /&gt;
Rician noise introduces a bias into MRI measurements that&lt;br /&gt;
can have a signiﬁcant impact on the shapes and orientations of ten-&lt;br /&gt;
sors in diﬀusion tensor magnetic resonance images. This is less of a&lt;br /&gt;
problem in structural MRI, because this bias is signal dependent and&lt;br /&gt;
it does not seriously impair tissue identiﬁcation or clinical diagnoses.&lt;br /&gt;
However, diﬀusion imaging is used extensively for quantitative evalua-&lt;br /&gt;
tions, and the tensors used in those evaluations are biased in ways that&lt;br /&gt;
depend on orientation and signal levels. This paper presents a strat-&lt;br /&gt;
egy for ﬁltering diﬀusion tensor magnetic resonance images that ad-&lt;br /&gt;
dresses these issues. The method is a maximum a posteriori estima-&lt;br /&gt;
tion technique that operates directly on the diﬀusion weighted images&lt;br /&gt;
and accounts for the biases introduced by Rician noise. We account for&lt;br /&gt;
Rician noise through a data likelihood term that is combined with a&lt;br /&gt;
spatial smoothing prior. The method compares favorably with several&lt;br /&gt;
other approaches from the literature, including methods that ﬁlter dif-&lt;br /&gt;
fusion weighted imagery and those that operate directly on the diﬀusion&lt;br /&gt;
tensors.&lt;br /&gt;
&lt;br /&gt;
== Usage ==&lt;br /&gt;
&lt;br /&gt;
===DWI filtering===&lt;br /&gt;
&lt;br /&gt;
====Examples, Use Cases &amp;amp; Tutorials====&lt;br /&gt;
&lt;br /&gt;
USAGE&lt;br /&gt;
--------------&lt;br /&gt;
dwiFilter &amp;lt;arguments&amp;gt;&lt;br /&gt;
Arguments:&lt;br /&gt;
1. Input File Name&lt;br /&gt;
2. Output File Name&lt;br /&gt;
3. NumIterations&lt;br /&gt;
4. Conductance&lt;br /&gt;
5. TimeStep&lt;br /&gt;
6. Filter Type : (Simple Aniso-0,Chi Squared-1,Rician-2,Gaussian-3)&lt;br /&gt;
7. Sigma for bias correction&lt;br /&gt;
8. Lamda (Rician Correction Term)&lt;br /&gt;
9. Lamda (Gaussian Correction Term)&lt;br /&gt;
&lt;br /&gt;
Argument Description:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Input File Name&amp;gt; &lt;br /&gt;
Name of the DWI file to be filtered. For example&lt;br /&gt;
&amp;lt;noisyDWI_10.nhdr&amp;gt; is a noisy DWI file provided&lt;br /&gt;
in the data directory. It was generated by adding &lt;br /&gt;
synthetic Rician noise with a sigma=10 to a cleanDWI.nhdr&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Output File Name&amp;gt;&lt;br /&gt;
Name of the filtered DWI file. For example&lt;br /&gt;
&amp;lt;filteredDWI.nhdr&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;NumIterations&amp;gt;&lt;br /&gt;
Number of iterations you want to run the filter for.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Conductance&amp;gt;&lt;br /&gt;
The value of the conductance term in anisotropic &lt;br /&gt;
diffusion filtering (Ex: 1.0)&lt;br /&gt;
Note: Large Conductance will oversmooth the image&lt;br /&gt;
It is important to tune the conductance to obtain&lt;br /&gt;
best results.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Time Step&amp;gt;&lt;br /&gt;
This determines the step size in the gradient&lt;br /&gt;
descent. It can be atmost 0.0625.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Filter Type&amp;gt;&lt;br /&gt;
Can Take 3 values:&lt;br /&gt;
0 means perform simple anisotropic diffusion&lt;br /&gt;
   &lt;br /&gt;
* - 1 means perform Chi-Squared smoothing (square the image and perform anisotropic diffusion and then subtract the variance of the noise, and take square root. (The square of a Rice distribution is a Chi Squared distribution with known bias equal to the variance of the noise) (Refer:Max likelihood Est. of Rician Ditribution Parameters. Sijbers et. al)&lt;br /&gt;
* - 2 means Perform Rician bias correction filtering.(Refer: Rician Noise Removal in DT-MRI.)&lt;br /&gt;
* - 3 is same as 2 except use a Gaussian Attachment Term .&lt;br /&gt;
&lt;br /&gt;
&amp;lt;Sigma&amp;gt;&lt;br /&gt;
Estimate of noise in the data.&lt;br /&gt;
This can be done by squaring the airvoxels&lt;br /&gt;
in the real data. The sum of square of all&lt;br /&gt;
the intensities in the air region should equal&lt;br /&gt;
2*variance of the noise in the data.&lt;br /&gt;
(Sijbers et. al)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;lamda1, lamda2&amp;gt;&lt;br /&gt;
The weights for the Rician and Gaussian &lt;br /&gt;
attachment terms. &lt;br /&gt;
&lt;br /&gt;
EXAMPLE&lt;br /&gt;
-------------&lt;br /&gt;
dwiFilter ../data/noisyDWI_10.nhdr filteredDWI.nhdr 1 1.0 0.0625 2 10 100 0&lt;br /&gt;
&lt;br /&gt;
Filters the noisyDWI_10.nhdr for 1 iteration with a conductance of 1.0&lt;br /&gt;
timeStep 0.0625 using Rician filtering with a Rician attachement term&lt;br /&gt;
weight of 100. The estimate of noise in the input image is a sigma of 10&lt;br /&gt;
The filtered image is filteredDWI.nhdr.&lt;br /&gt;
&lt;br /&gt;
===Tensor filtering===&lt;br /&gt;
&lt;br /&gt;
Usage&lt;br /&gt;
--------------&lt;br /&gt;
tensorDiffuse &amp;lt;Arguments&amp;gt;&lt;br /&gt;
1. FilterType:(0-Euclidean, 1-Log Space,2-Riemannian)&lt;br /&gt;
2. numIterations:Iterations For Anisotropic Diffusion&lt;br /&gt;
3. timeStep:timeStep Used in Anisotropic Diffusion&lt;br /&gt;
4. conductance:Conductance used for Anisotropic Diffusion&lt;br /&gt;
5. Input (filename of input data)&lt;br /&gt;
6. Output (filename of output data)&lt;br /&gt;
&lt;br /&gt;
Arguments 2,3,4 have the same meaning as described for dwiFilter (see above).&lt;br /&gt;
&lt;br /&gt;
Argument 1 describes the filter type&lt;br /&gt;
* - 0: Euclidean Space filtering (tensors are treated as 6-d vectors)&lt;br /&gt;
* - 1: Log Space filtering (Fast and Simple Calculus on Tensors in the Log-Euclidean Framework. In J. Duncan and G. Gerig, editors, Proceedings of the 8th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Part I, volume 3749 of LNCS, Palm Springs, CA, USA, October 26-29, pages 115-122, 2005. Springer Verlag)&lt;br /&gt;
* - 2. Riemannian Space Filtering(A Riemannian Framework for the Processing of Tensor-Valued Images. In Ole Fogh Olsen, Luc Florak, and Arjan Kuijper, editors, Deep Structure, Singularities, and Computer Vision (DSSCV), number 3753 of LNCS, pages 112-123, June 2005. Springer Verlag.)&lt;br /&gt;
&lt;br /&gt;
Currently, the Riemannian filter adjustment for negative eigen-values&lt;br /&gt;
is hard-coded in the source file.&lt;br /&gt;
&lt;br /&gt;
Argument 5 is the name of the noisyTensor input.&lt;br /&gt;
Argument 6 is the name of the output tensor file&lt;br /&gt;
&lt;br /&gt;
EXAMPLE&lt;br /&gt;
--------------&lt;br /&gt;
tensorFilter 2 1 0.0625 1.0 noisyTensor_10.nhdr FilteredTensor.nhrd&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Quick Tour of Features and Use===&lt;br /&gt;
List all the panels in your interface, their features, what they mean, and how to use them. For instance:&lt;br /&gt;
&lt;br /&gt;
* '''Input panel:'''&lt;br /&gt;
* '''Parameters panel:'''&lt;br /&gt;
* '''Output panel:'''&lt;br /&gt;
* '''Viewing panel:'''&lt;br /&gt;
&lt;br /&gt;
== Development ==&lt;br /&gt;
&lt;br /&gt;
===Known bugs===&lt;br /&gt;
&lt;br /&gt;
Follow this link to the Slicer3 bug tracker: &lt;br /&gt;
&lt;br /&gt;
http://na-mic.org/Mantis/main_page.php&lt;br /&gt;
&lt;br /&gt;
===Usability issues===&lt;br /&gt;
&lt;br /&gt;
Follow this link to the Slicer3 bug tracker. Please select the '''usability issue category''' when browsing or contributing:&lt;br /&gt;
&lt;br /&gt;
http://na-mic.org/Mantis/main_page.php&lt;br /&gt;
&lt;br /&gt;
===Source code &amp;amp; documentation===&lt;br /&gt;
&lt;br /&gt;
Customize following links for your module:&lt;br /&gt;
&lt;br /&gt;
http://www.na-mic.org/ViewVC/index.cgi/&lt;br /&gt;
&lt;br /&gt;
Links to documentation generated by doxygen:&lt;br /&gt;
&lt;br /&gt;
http://www.na-mic.org/Slicer/Documentation/Slicer3/html/&lt;br /&gt;
&lt;br /&gt;
== More Information == &lt;br /&gt;
&lt;br /&gt;
===Acknowledgement===&lt;br /&gt;
This work is part of the National Alliance for Medical Image Computing&lt;br /&gt;
(NAMIC), funded by the National Institutes of Health through the NIH Roadmap&lt;br /&gt;
for Medical Research, Grant U54 EB005149. Information on the National Centers&lt;br /&gt;
for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/&lt;br /&gt;
bioinformatics. Funding for this work has also been provided by Center for&lt;br /&gt;
Integrative Biomedical Computing, NIH NCRR Project 2-P41-RR12553-07. We&lt;br /&gt;
thank Weili Lin and Guido Gerig from the University of North Carolina for&lt;br /&gt;
providing us with the DW-MRI data. Glyph visualizations created with Teem&lt;br /&gt;
(http://teem.sf.net).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===References===&lt;br /&gt;
Basu, S., Fletcher, P.T., Whitaker, R.T. Rician Noise Removal in Diffusion Tensor MRI. In Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 4190, pp. 117-125, October, 2006.&lt;br /&gt;
[[http://www.sci.utah.edu/~fletcher/BasuDTIFilteringMICCAI2006.pdf | Paper link ]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=SanteFe.Tractography.Conference&amp;diff=13958</id>
		<title>SanteFe.Tractography.Conference</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=SanteFe.Tractography.Conference&amp;diff=13958"/>
		<updated>2007-07-30T23:09:12Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Conference Attendees */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Goals =&lt;br /&gt;
We in NA-MIC, and our collaborating colleagues from BIRN, NAC and UIowa, are in a unique position to make a substanital contribution to the field of knowledge concerning the validation of medical image processing of Diffusion Tensor Image data.  Among our faculty are leaders in the field of not only DTI analysis algorithm development, but also of validation and calibration.  We seek to use our unique opportunity for multi-site collaboration to advance knowledge in this area for the benefit of clinical and computational scientists. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* To compare and contrast the results of tractography algorithms included in or supported by the NA-MIC Toolkit on a benchmark dataset of Diffusion Tensor Imaging (DTI) data.&amp;lt;br /&amp;gt;&lt;br /&gt;
* To develop a framework for systematically and statistically comparing and contrasting these outcome measures mapped to specific manuscript preparation.&amp;lt;br /&amp;gt;&lt;br /&gt;
* To map out appropriate leadership for each of the proposed manuscripts. &amp;lt;br /&amp;gt; &lt;br /&gt;
* To initiate development of tutorials for tractography algorithms not yet in the NAMIC Training Compendium.&amp;lt;br /&amp;gt;&lt;br /&gt;
* To propose methods for NA-MIC benchmarks of calibration and validation of tractography algorithms for further discussion at the 2008 AHM.&amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Conference Logistics ==&lt;br /&gt;
&lt;br /&gt;
* October 1-2, 2007, 8:00 AM- 5:00 PM&amp;lt;br /&amp;gt;&lt;br /&gt;
* The workshop is being held in the Governors Room at the Inn of the Governors, 101 W. Alameda, Sante Fe, NM 87501, 1-800-234-4534, http://www.innofthegovernors.com/ &amp;lt;br /&amp;gt;&lt;br /&gt;
* We have booked a block of rooms for $169.00/night for single or double occupancy September 30- October 3, 2007 (Sunday through Tuesday nights).  Our reservation code will be posted shortly.  The price includes a full breakfast buffet, wireless internet access in the lobby, meeting room and sleeping rooms at no additional cost. &amp;lt;br /&amp;gt;&lt;br /&gt;
* Fly into Albuquerque, NM.  Information about shuttles from the airport to the hotel can be found here http://www.sandiashuttle.com/.&lt;br /&gt;
&lt;br /&gt;
Many grateful thanks to John Rasure and Debbie Lynch of the MIND Institute for their assistance in making these arrangements.&lt;br /&gt;
&lt;br /&gt;
==Registration==&lt;br /&gt;
* '''To register, add your name to the list of attendees below and make your flight and hotel reservations'''&lt;br /&gt;
&lt;br /&gt;
* Questions about logistics and the content of the Conference should be addressed to Randy Gollub (rgollub at partners.org).&lt;br /&gt;
&lt;br /&gt;
* '''This Conference is supported by the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/bioinformatics'''.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Conference Attendees ==&lt;br /&gt;
&lt;br /&gt;
* Ross Whitaker, PhD&lt;br /&gt;
* Guido Gerig, PhD&lt;br /&gt;
* Carl Fredrick Westin, PhD&lt;br /&gt;
* Marek Kubicki, MD, PhD&lt;br /&gt;
* Sylvain Bouix, PhD&lt;br /&gt;
* [[User:Randy|Randy Gollub, MD, PhD]], Harvard Medical School (Department of Psychiatry and Martinos Center, Department of Radiology, Massachussets General Hospital)&lt;br /&gt;
* [[User:SPujol|Sonia Pujol, PhD]], Harvard Medical School (Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital)&lt;br /&gt;
* H. Jeremy Bockholt, The MIND Institute&lt;br /&gt;
* [[User:Melonakos|John Melonakos]], Georgia Tech&lt;br /&gt;
* Ron Kikinis, MD&lt;br /&gt;
* Tom Fletcher, Utah&lt;br /&gt;
&lt;br /&gt;
== Preparation for Workshop -- ''Important Information for all attendees'' ==&lt;br /&gt;
&lt;br /&gt;
Suggested background reading for workshop:&amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Suggestions:&lt;br /&gt;
&lt;br /&gt;
#[[Media:AHM2006-validation-DTI-gg.ppt| Guido's 2006 AHM presentation on Validation strategies for DTI analysis]]&lt;br /&gt;
#[[Media:DWI.reproducibility.pdf]]&lt;br /&gt;
#[[http://cds.ismrm.org/protected/DiffusionWorkshop05 If any of you attended the 2005 ISMRM Workshop on Methods for Quantitative Diffusion of MRI of Human Brain and can get us access to the detailed summary, I have seen it and it might be very useful]]&lt;br /&gt;
#Presentations by and Fitzpatrick from the [http://idm.univ-rennes1.fr/VMIP/miccai2003/presentations.html MICCAI 2003 Tutorial on Validation in Medical Image Processing]&lt;br /&gt;
#Peruse the webpages associated with the [http://www.vuse.vanderbilt.edu/~image/registration/ Retrospective Image Registration Evaluation project] &lt;br /&gt;
#[http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10818/34114/01624925.pdf anyone have access to this?]&lt;br /&gt;
&lt;br /&gt;
Please complete the following items prior to the workshop. 	&lt;br /&gt;
&amp;lt;span style=&amp;quot;background-color: yellow&amp;quot;&amp;gt;'''This is hands-on Conference. All participants must come with their own computer loaded with the calibration data and the results of their own algorithm analysis. '''&amp;lt;/span&amp;gt;&amp;lt;br /&amp;gt;	&lt;br /&gt;
	&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;background-color: orange&amp;quot;&amp;gt;'''Benchmark Datasets'''&amp;lt;/span&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Agenda ==	&lt;br /&gt;
	&lt;br /&gt;
=== '''October 1, Meeting 8:30 AM - 5 PM''' ===&lt;br /&gt;
* 7:30- 8:30 AM Enjoy the breakfast buffet at the hotel	&lt;br /&gt;
* 8:30 - 8:40 AM '''Goals of Conference''' 	&lt;br /&gt;
* 8:40 - 9:40 AM '''Presentations of Results from each of the participants''' &lt;br /&gt;
* 9:40 - 10:15 AM '''Discussion''' &lt;br /&gt;
* 10:15 -10:30 Coffee Break		&lt;br /&gt;
* 10:30 - 11:45 AM '''Expert speaker presentation on methods of statistical comparison of similar data, who?''' &lt;br /&gt;
* 11:45 - 1:00  Lunch together at local restaurant		&lt;br /&gt;
* 1:00 - 3:00 PM '''?''' &lt;br /&gt;
* 3:00 - 3:15 PM Coffee Break		&lt;br /&gt;
* 3:15 - 5:00 PM '''?'''&lt;br /&gt;
&lt;br /&gt;
* 7:00 PM  Dinner at local resturant(s) to be found by wandering around town	&lt;br /&gt;
&lt;br /&gt;
=== '''October 2, 8:30 AM - 5 PM''' ===	&lt;br /&gt;
* 7:30- 8:30 AM Enjoy the breakfast buffet at the hotel&lt;br /&gt;
* 8:30 - 8:40 AM '''Synopsis of yesterday's accomplishments''' 	&lt;br /&gt;
* 8:40 - 10:15 '''''' &lt;br /&gt;
* 10:15 -10:30 Coffee Break		&lt;br /&gt;
* 10:30 - 11:45 '''?''' &lt;br /&gt;
* 11:45 - 1:00 PM Lunch together at local restaurant		&lt;br /&gt;
* 1:00 - 3:00 PM '''?''' &lt;br /&gt;
* 3:00 - 3:15 PM Coffee Break		&lt;br /&gt;
* 3:15 - 5:00  PM Formulation of action plan and assignment of tasks 		&lt;br /&gt;
		&lt;br /&gt;
&amp;lt;br /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Return to [[Projects/Diffusion/2007_Project_Week_Contrasting_Tractography_Measures | Contrasting Tractography Project Page]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects/Diffusion/Contrasting_Tractography_Measures&amp;diff=13953</id>
		<title>Projects/Diffusion/Contrasting Tractography Measures</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects/Diffusion/Contrasting_Tractography_Measures&amp;diff=13953"/>
		<updated>2007-07-30T19:51:23Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* UTAH */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Overview=&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#c2c2c2; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Site&lt;br /&gt;
| style=&amp;quot;width:30%&amp;quot; | Streamline Tractography Algorithm &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Input &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Volumetric Output&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Geometric Output&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Other Information&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|UNC&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (Fiber Viewer)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|Iowa&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (GTract)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|BWH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (Slicer)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|JHU&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (DTI Studio)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#c2c2c2; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Site&lt;br /&gt;
| style=&amp;quot;width:30%&amp;quot; | Volumetric Conectivity Filter Algorithm &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Input &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Volumetric Output&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Geometric Output&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Other Information&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|GaTech&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Geodesic Active Contours (Finsler)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI or DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Labelmap per bundle&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Optimal path&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|BWH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Stochastic&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Probability Map&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|Utah&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Volumetric Connectivity (Riemannian)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI or DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Tract label map&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Isosurface of tract&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|MGH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Path of Interest (POI stats)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| may not be available for testing&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#c2c2c2; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Site&lt;br /&gt;
| style=&amp;quot;width:30%&amp;quot; | Other &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Input &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Volumetric Output&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Geometric Output&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Other Information&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|BWH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Atlas Cluster&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Labelmap per bundle&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Bundles&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== UNC ==&lt;br /&gt;
&lt;br /&gt;
[[ Algorithm:UNC:DTI#Quantitative_Analysis_of_Fiber_Tract_Bundles | Overview of UNC Tractography Methods ]]&lt;br /&gt;
&lt;br /&gt;
The UNC tractography measure methodology produces fiber bundles using a standard streamline tractography algorithm [http://www.ia.unc.edu/dev/download/fibertracking/index.htm FiberTracking].  The fiber bundles are attributed with tensor data at each point along the bundle.  The user uses clustering and manual editing tools in [http://www.ia.unc.edu/dev/download/fiberviewer/index.htm FiberViewer] to identify the fiber bundle and remove outliers.  The user identifies an origin on the fiber bundle and computes statistics of the bundle as a function of arc-length along the bundle.&lt;br /&gt;
&lt;br /&gt;
* Inputs&lt;br /&gt;
** DWI or DTI&lt;br /&gt;
** ROI for seed regions for tractography&lt;br /&gt;
* Outputs&lt;br /&gt;
** Fiber bundle tracts viewable in FiberViewer or Slicer3&lt;br /&gt;
** Summary statistics of fiber bundle as function of arc length (text file)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Iowa ==&lt;br /&gt;
The University of Iowa tractography program [http://mri.radiology.uiowa.edu/mediawiki/index.php/GTRACT_Users_Guide GTRACT] is based on a modified streamlines algorithm. The advantage of this algorithm is that it helps to resolve fibers in regions where there are crossing or fanning fibers. We have also instrumented a fast marching based algorithm into GTRACT that we are currently evaluating. These algorithms require a seed region as input and will generate a VTK file representing the fiber tracts. Data associated with anisotropy, curvature or cost of the tract can be included as point data associated with the fiber tract. Tools are also available for computing the distance between fiber tracts.&lt;br /&gt;
&lt;br /&gt;
*Inputs&lt;br /&gt;
** DWI or DTI data (DICOM or other ITK supported format)&lt;br /&gt;
** Parameters defining the diffusion directions&lt;br /&gt;
** Binary image representing the regions of interest for seeds&lt;br /&gt;
&lt;br /&gt;
*Outputs&lt;br /&gt;
** Tensor image&lt;br /&gt;
** ADC and anisotropy images as defined by the user&lt;br /&gt;
** Fiber tracts in VTK format&lt;br /&gt;
&lt;br /&gt;
== GATech ==&lt;br /&gt;
&lt;br /&gt;
[[ Algorithm:GATech:DWMRI_Geodesic_Active_Contours | Geodesic Active Contours for Fiber Tractography and Fiber Bundle Segmentation ]]&lt;br /&gt;
&lt;br /&gt;
These algorithms find the optimal path (i.e. &amp;quot;the anchor tract&amp;quot;) connecting two ROIs, which is equivalent to finding a geodesic on a manifold (which may be any Finsler manifold, such as the Riemannian manifold).  Then, the associated fiber bundles is segmented from the data via a region-based flow adapted for DW-MRI direction-dependent data.&lt;br /&gt;
&lt;br /&gt;
* Inputs&lt;br /&gt;
** DWI or DTI&lt;br /&gt;
** ROI for seed regions (i.e. the endpoints of the fiber bundle, which most likely correspond to the associated gray matter regions)&lt;br /&gt;
* Outputs&lt;br /&gt;
** VTK files of the anchor tracts&lt;br /&gt;
** VTK files of the volumetric fiber bundle&lt;br /&gt;
** Summary statistics of fiber bundle as function of arc length (text file)&lt;br /&gt;
&lt;br /&gt;
Note, I've put this together which may have some educational and/or thought provoking value.  It is certainly biased towards the ideas entertained at Georgia Tech over the past few years and could be greatly extended/enhanced with more input from others in the community.  Check it out here:  [[Algorithm:GATech:DWMRI_Musings | DW-MRI Musings]].&lt;br /&gt;
&lt;br /&gt;
== BWH ==&lt;br /&gt;
'''Stochastic Tractography'''&lt;br /&gt;
&lt;br /&gt;
[http://www.na-mic.org/Wiki/index.php/Algorithm:MIT:DTI_StochasticTractography Stochastic Tractography] is a Bayesian approach to estimating nerve fiber tracts from DWMRI (Diffusion Weighted Magnetic Imaging) images. The Bayesian framework provides a measure of confidence regarding the estimated tracts. This measure of confidence allows the algorithm to generate tracts which pass through regions with uncertain fiber directions, revealing more details about structural connectivity than non-Bayesian tractography algorithm.&lt;br /&gt;
&lt;br /&gt;
*Inputs&lt;br /&gt;
** DWI and associated parameters (b-values, gradient directions)&lt;br /&gt;
** Posterior White Matter probability map&lt;br /&gt;
&lt;br /&gt;
*Outputs&lt;br /&gt;
** Brain Connectivity Map&lt;br /&gt;
** Tract-Averaged FA Distribution&lt;br /&gt;
** Tract Length Distribution&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== UTAH ==&lt;br /&gt;
This is a PDE-based approach to white matter connectivity from DTI that is founded on the principal of minimal paths through the tensor volume. Our method computes a volumetric representation of a white matter tract given two endpoint regions. We have also developed statistical methods for quantifying the full tensor data along these pathways, which should be useful in clinical studies using DT-MRI.&lt;br /&gt;
&lt;br /&gt;
*Input&lt;br /&gt;
**DWI or DTI&lt;br /&gt;
**ROIs of tract endpoints&lt;br /&gt;
*Output&lt;br /&gt;
**Labelmap of tract&lt;br /&gt;
**Parameterization along tract&lt;br /&gt;
**Regression of tensor data along tract (tensors, FA, MD, etc)&lt;br /&gt;
&lt;br /&gt;
== BWH ==&lt;br /&gt;
[[Image:CingulumSlicer.png|thumb|right|250px| Cingulum Bundle (case D00917)]]&lt;br /&gt;
The DT-MRI module of [http://www.slicer.org/ Slicer] uses a streamline tractography algorithm with a mutilple-ROI approach (AND and NOT operators).&lt;br /&gt;
&lt;br /&gt;
*Inputs&lt;br /&gt;
** DWI or DTI data&lt;br /&gt;
** ROI &lt;br /&gt;
*Outputs&lt;br /&gt;
** Fiber tracts in VTK format&lt;br /&gt;
&lt;br /&gt;
Example: Cingulum bundle generated from the [http://wiki.na-mic.org/Wiki/index.php/Projects/Diffusion/2007_Project_Week_Contrasting_Tractography_Measures/ROI_Definitions validation data ROIs].&lt;br /&gt;
&lt;br /&gt;
== BWH ==&lt;br /&gt;
Clustering information to be entered here&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Return to [[Projects/Diffusion/2007_Project_Week_Contrasting_Tractography_Measures | ContrastingTractography Project Page]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects/Diffusion/Contrasting_Tractography_Measures&amp;diff=13952</id>
		<title>Projects/Diffusion/Contrasting Tractography Measures</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects/Diffusion/Contrasting_Tractography_Measures&amp;diff=13952"/>
		<updated>2007-07-30T19:45:32Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Overview */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Overview=&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#c2c2c2; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Site&lt;br /&gt;
| style=&amp;quot;width:30%&amp;quot; | Streamline Tractography Algorithm &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Input &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Volumetric Output&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Geometric Output&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Other Information&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|UNC&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (Fiber Viewer)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|Iowa&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (GTract)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|BWH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (Slicer)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|JHU&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Streamline (DTI Studio)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#c2c2c2; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Site&lt;br /&gt;
| style=&amp;quot;width:30%&amp;quot; | Volumetric Conectivity Filter Algorithm &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Input &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Volumetric Output&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Geometric Output&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Other Information&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|GaTech&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Geodesic Active Contours (Finsler)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI or DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Labelmap per bundle&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Optimal path&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|BWH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Stochastic&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Probability Map&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|None&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|Utah&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Volumetric Connectivity (Riemannian)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DWI or DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Tract label map&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Isosurface of tract&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|MGH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Path of Interest (POI stats)&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|DTI&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| may not be available for testing&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#c2c2c2; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Site&lt;br /&gt;
| style=&amp;quot;width:30%&amp;quot; | Other &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Input &lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Volumetric Output&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | Geometric Output&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | Other Information&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#ffffdd; color:black&amp;quot;|BWH&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Atlas Cluster&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;|Tracts&lt;br /&gt;
| style=&amp;quot;background:#c4f4af; color:black&amp;quot;|Labelmap per bundle&lt;br /&gt;
| style=&amp;quot;background:#cbe2e5; color:black&amp;quot;|Bundles&lt;br /&gt;
| style=&amp;quot;background:#fff6a6; color:black&amp;quot;| see here&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== UNC ==&lt;br /&gt;
&lt;br /&gt;
[[ Algorithm:UNC:DTI#Quantitative_Analysis_of_Fiber_Tract_Bundles | Overview of UNC Tractography Methods ]]&lt;br /&gt;
&lt;br /&gt;
The UNC tractography measure methodology produces fiber bundles using a standard streamline tractography algorithm [http://www.ia.unc.edu/dev/download/fibertracking/index.htm FiberTracking].  The fiber bundles are attributed with tensor data at each point along the bundle.  The user uses clustering and manual editing tools in [http://www.ia.unc.edu/dev/download/fiberviewer/index.htm FiberViewer] to identify the fiber bundle and remove outliers.  The user identifies an origin on the fiber bundle and computes statistics of the bundle as a function of arc-length along the bundle.&lt;br /&gt;
&lt;br /&gt;
* Inputs&lt;br /&gt;
** DWI or DTI&lt;br /&gt;
** ROI for seed regions for tractography&lt;br /&gt;
* Outputs&lt;br /&gt;
** Fiber bundle tracts viewable in FiberViewer or Slicer3&lt;br /&gt;
** Summary statistics of fiber bundle as function of arc length (text file)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Iowa ==&lt;br /&gt;
The University of Iowa tractography program [http://mri.radiology.uiowa.edu/mediawiki/index.php/GTRACT_Users_Guide GTRACT] is based on a modified streamlines algorithm. The advantage of this algorithm is that it helps to resolve fibers in regions where there are crossing or fanning fibers. We have also instrumented a fast marching based algorithm into GTRACT that we are currently evaluating. These algorithms require a seed region as input and will generate a VTK file representing the fiber tracts. Data associated with anisotropy, curvature or cost of the tract can be included as point data associated with the fiber tract. Tools are also available for computing the distance between fiber tracts.&lt;br /&gt;
&lt;br /&gt;
*Inputs&lt;br /&gt;
** DWI or DTI data (DICOM or other ITK supported format)&lt;br /&gt;
** Parameters defining the diffusion directions&lt;br /&gt;
** Binary image representing the regions of interest for seeds&lt;br /&gt;
&lt;br /&gt;
*Outputs&lt;br /&gt;
** Tensor image&lt;br /&gt;
** ADC and anisotropy images as defined by the user&lt;br /&gt;
** Fiber tracts in VTK format&lt;br /&gt;
&lt;br /&gt;
== GATech ==&lt;br /&gt;
&lt;br /&gt;
[[ Algorithm:GATech:DWMRI_Geodesic_Active_Contours | Geodesic Active Contours for Fiber Tractography and Fiber Bundle Segmentation ]]&lt;br /&gt;
&lt;br /&gt;
These algorithms find the optimal path (i.e. &amp;quot;the anchor tract&amp;quot;) connecting two ROIs, which is equivalent to finding a geodesic on a manifold (which may be any Finsler manifold, such as the Riemannian manifold).  Then, the associated fiber bundles is segmented from the data via a region-based flow adapted for DW-MRI direction-dependent data.&lt;br /&gt;
&lt;br /&gt;
* Inputs&lt;br /&gt;
** DWI or DTI&lt;br /&gt;
** ROI for seed regions (i.e. the endpoints of the fiber bundle, which most likely correspond to the associated gray matter regions)&lt;br /&gt;
* Outputs&lt;br /&gt;
** VTK files of the anchor tracts&lt;br /&gt;
** VTK files of the volumetric fiber bundle&lt;br /&gt;
** Summary statistics of fiber bundle as function of arc length (text file)&lt;br /&gt;
&lt;br /&gt;
Note, I've put this together which may have some educational and/or thought provoking value.  It is certainly biased towards the ideas entertained at Georgia Tech over the past few years and could be greatly extended/enhanced with more input from others in the community.  Check it out here:  [[Algorithm:GATech:DWMRI_Musings | DW-MRI Musings]].&lt;br /&gt;
&lt;br /&gt;
== BWH ==&lt;br /&gt;
'''Stochastic Tractography'''&lt;br /&gt;
&lt;br /&gt;
[http://www.na-mic.org/Wiki/index.php/Algorithm:MIT:DTI_StochasticTractography Stochastic Tractography] is a Bayesian approach to estimating nerve fiber tracts from DWMRI (Diffusion Weighted Magnetic Imaging) images. The Bayesian framework provides a measure of confidence regarding the estimated tracts. This measure of confidence allows the algorithm to generate tracts which pass through regions with uncertain fiber directions, revealing more details about structural connectivity than non-Bayesian tractography algorithm.&lt;br /&gt;
&lt;br /&gt;
*Inputs&lt;br /&gt;
** DWI and associated parameters (b-values, gradient directions)&lt;br /&gt;
** Posterior White Matter probability map&lt;br /&gt;
&lt;br /&gt;
*Outputs&lt;br /&gt;
** Brain Connectivity Map&lt;br /&gt;
** Tract-Averaged FA Distribution&lt;br /&gt;
** Tract Length Distribution&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== UTAH ==&lt;br /&gt;
Volumetric connectivity information to be entered here&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== BWH ==&lt;br /&gt;
[[Image:CingulumSlicer.png|thumb|right|250px| Cingulum Bundle (case D00917)]]&lt;br /&gt;
The DT-MRI module of [http://www.slicer.org/ Slicer] uses a streamline tractography algorithm with a mutilple-ROI approach (AND and NOT operators).&lt;br /&gt;
&lt;br /&gt;
*Inputs&lt;br /&gt;
** DWI or DTI data&lt;br /&gt;
** ROI &lt;br /&gt;
*Outputs&lt;br /&gt;
** Fiber tracts in VTK format&lt;br /&gt;
&lt;br /&gt;
Example: Cingulum bundle generated from the [http://wiki.na-mic.org/Wiki/index.php/Projects/Diffusion/2007_Project_Week_Contrasting_Tractography_Measures/ROI_Definitions validation data ROIs].&lt;br /&gt;
&lt;br /&gt;
== BWH ==&lt;br /&gt;
Clustering information to be entered here&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Return to [[Projects/Diffusion/2007_Project_Week_Contrasting_Tractography_Measures | ContrastingTractography Project Page]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Special_topic_breakout:_DWI/DTI&amp;diff=12250</id>
		<title>Special topic breakout: DWI/DTI</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Special_topic_breakout:_DWI/DTI&amp;diff=12250"/>
		<updated>2007-06-21T21:03:32Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:ProjectWeek-2007.png|thumb|300px|left|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]]]] &lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
DWI/DTI Breakout Session&lt;br /&gt;
&lt;br /&gt;
June 26th, 4-5pm&lt;br /&gt;
&lt;br /&gt;
Location: [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt; &amp;lt;br&amp;gt; &amp;lt;br&amp;gt; &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Attendees:&lt;br /&gt;
* Katharina&lt;br /&gt;
* Marek Kubicki&lt;br /&gt;
* Sylvain Bouix&lt;br /&gt;
* Raul San Jose&lt;br /&gt;
* Lauren O'Donnell&lt;br /&gt;
* Marc Niethammer&lt;br /&gt;
* Casey Goodlett&lt;br /&gt;
* Jim Miller&lt;br /&gt;
* Wendy Plesniak&lt;br /&gt;
* John Melonakos&lt;br /&gt;
* Ran Tao&lt;br /&gt;
==Agenda==&lt;br /&gt;
* Current design and work in progress: what has it been achieved?.&lt;br /&gt;
* Core interaction modes: What do a DTI study needs from Slicer 3?&lt;br /&gt;
** Visualize raw DWI data&lt;br /&gt;
** Seed regions.&lt;br /&gt;
** Display glyphs.&lt;br /&gt;
** ROI-based tractography/connectivity.&lt;br /&gt;
** Stochastic tractography.&lt;br /&gt;
** DWI/DTI to structural registration.&lt;br /&gt;
** Study End-points: tract-based measurements vs. ROI-based measurements.&lt;br /&gt;
* New trends: shaping Slicer3 into the future&lt;br /&gt;
** Multiple tensor model: basic design ideas.&lt;br /&gt;
** High angular resolution studies.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2007_Programming/Project_Week_MIT&amp;diff=12249</id>
		<title>2007 Programming/Project Week MIT</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2007_Programming/Project_Week_MIT&amp;diff=12249"/>
		<updated>2007-06-21T20:52:27Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Diffusion Image Analysis */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to [[Engineering:Programming_Events|Programming/Project Events]]&lt;br /&gt;
[[Image:ProjectWeek-2007.png|thumb|450px|right|Summer 2007]]&lt;br /&gt;
== Logistics ==&lt;br /&gt;
&lt;br /&gt;
'''Dates:''' June 25-29, 2007&lt;br /&gt;
&lt;br /&gt;
'''Location:''' MIT. [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]].&lt;br /&gt;
&lt;br /&gt;
'''Registration Fee:''' $200 (this will cover the cost of breakfast,lunch, and coffee breaks for the week). Due by Tuesday, June 19, 2007. Please make checks out to &amp;quot;Massachusetts Institute of Technology&amp;quot; and mail to: &lt;br /&gt;
Donna Kaufman, MIT, 77 Massachusetts Ave., 38-409b, Cambridge, MA 02139&lt;br /&gt;
&lt;br /&gt;
If you are attending for one day only, the registration fee is not required.&lt;br /&gt;
&lt;br /&gt;
'''Hotel:''' We have a group rate of $209/night at the [http://www.hotelatmit.com Hotel at MIT]. (Use group code NAM.) Here is some information about several other Boston area hotels that are convenient to NA-MIC events: [[Boston_Hotels|Boston_Hotels]]. Summer is tourist season in Boston, so please book your rooms early.&lt;br /&gt;
&lt;br /&gt;
([[Project Week Logistics Checklist|This is a checklist for the onsite planning items]])&lt;br /&gt;
&lt;br /&gt;
===Introduction to NA-MIC Project Week===&lt;br /&gt;
&lt;br /&gt;
NA-MIC Project Week is a hands on activity -- programming using the [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, and clinical application -- that has become one of the major events in the [[NA-MIC-Kit|NA-MIC Kit]] calendar. It is held in the summer at MIT (typically the last week of June), and a shorter version is held in Salt Lake City in the winter (typically the second week of January).  &lt;br /&gt;
The main goal of these events if to move forward the deliverables of NA-MIC. NA-MIC participants and their collaborators are welcome to attend.  &lt;br /&gt;
&lt;br /&gt;
* NA-MIC Members: Participation in this event is voluntary -- if you don't think this will help you move forward in your work, there is no obligation to attend.&lt;br /&gt;
* Ideal candidates are those who want to contribute to the [[NA-MIC-Kit|NA-MIC Kit]], and those who can help make it happen.&lt;br /&gt;
* This is not an introduction to the components of the [[NA-MIC-Kit|NA-MIC Kit]].&lt;br /&gt;
* NA-MIC Core 1 (Algorithms) - bring your algorithms and code to work on in the company of Core 2 engineers and Core 3 scientists.&lt;br /&gt;
* NA-MIC Core 2 (Engineering) - bring your code for infrastructure and applications to extend the [[NA-MIC-Kit|NA-MIC Kit]] capabiliities, integrate Core 1 algorithms, and refine worflows for Core 3.&lt;br /&gt;
* NA-MIC Core 3 (DBP) - bring your data to work on with the [[NA-MIC-Kit|NA-MIC Kit]] and get assistance and provide feedback to Core 1 scientists and Core 2 engineers.&lt;br /&gt;
* External Collaborators - if you are working on a project that uses the [[NA-MIC-Kit|NA-MIC kit]], and want to participate to get help from NA-MIC Engineering, please send an email to Tina Kapur (tkapur at bwh.harvard.edu).  Please note that the event is open to people outside NA-MIC, subject to availability.&lt;br /&gt;
* Everyone should '''bring a laptop'''. We will have four projectors.&lt;br /&gt;
* About half the time will be spent working on projects and the other half in project related discussions.&lt;br /&gt;
* You '''do''' need to be actively working on a NA-MIC related project in order to make this investment worthwhile for everyone.&lt;br /&gt;
&lt;br /&gt;
=== Agenda===&lt;br /&gt;
&lt;br /&gt;
* Monday June 25&lt;br /&gt;
** noon-1pm lunch &lt;br /&gt;
**1pm: Welcome (Ron Kikinis)&lt;br /&gt;
** 1:05-3:30pm Introduce [[#Projects|Projects]] using templated wiki pages (all Project Leads) ([[NA-MIC/Projects/Theme/Template|Wiki Template]]) &lt;br /&gt;
** 3:30-5:30pm Start project work&lt;br /&gt;
** 4:30-5:30pm [[Special topic breakout: New DBP Introduction to NA-MIC Engineering]]&lt;br /&gt;
* Tuesday June 26&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 9:00-9:45am: NA-MIC Software Process (Bill Hoffman, special guest speaker [http://www.boost-consulting.com/about/people David Abrahams] of [http://www.boost-consulting.com/ Boost Consulting])&lt;br /&gt;
** 10-10:30am [[Project Week 2007 Slicer 3.0 Update|Slicer 3.0 Update]] (Jim Miller, Steve Pieper)&lt;br /&gt;
** 11-12pm: [[Special topic breakout: IGT for Prostate]] &lt;br /&gt;
** noon lunch&lt;br /&gt;
** 1-2pm: [[Special topic breakout: KWWidgets]] &lt;br /&gt;
** 2-3pm: [[Special topic breakout: Non-Linear Registration]] &lt;br /&gt;
** 3-4pm: [[Special topic breakout: Atlases]] &lt;br /&gt;
** 4-5pm: [[Special topic breakout: DWI/DTI]] &lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Wednesday June 27&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 9:00-12pm [[Special topic breakout: ITK]] (Luis Ibanez)&lt;br /&gt;
** noon lunch&lt;br /&gt;
** 1-2pm: Special topic breakout: [[NA-MIC:2007 Plan for Long-Lead Time Items|  Plan for Long Lead Time Items]]&lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Thursday June 28&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** noon lunch&lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Friday June 29&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 10am-noon: Project Progress using update [[#Projects|Project Wiki pages]]&lt;br /&gt;
** noon lunch boxes and adjourn.  (Next one [[AHM_2008| in Utah the week of Jan 7, 2008]])&lt;br /&gt;
&lt;br /&gt;
=== Preparation ===&lt;br /&gt;
&lt;br /&gt;
# Please make sure that you are on the [http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-programming-week na-mic-programming-week mailing list]&lt;br /&gt;
# [[Engineering:TCON_2007#2007-05-03|May 3, 2007: Kickoff TCON#1 to discuss Engr Core Projects and Assign/Verify Teams]]&lt;br /&gt;
# [[Engineering:TCON_2007#2007-05-10|May 10, 2007: TCON#2 to discuss Projects and Assign/Verify Teams]]&lt;br /&gt;
# [[Engineering:TCON_2007#2007-05-17|May 17, 2007: TCON#3 to discuss outstanding projects and teams from previous week]]&lt;br /&gt;
# May 17, 2007: Create a Wiki page per project (the participants must do this, hopefully jointly)&lt;br /&gt;
# May 31, 2007: Create a directory for each project on the [[Engineering:SandBox|NAMIC Sandbox]] (Andy)&lt;br /&gt;
## Commit on each sandbox directory the code examples/snippets that represent our first guesses of appropriate methods. (Luis and Steve will help with this, as needed)&lt;br /&gt;
## Gather test images in any of the Data sharing resources we have (e.g. the BIRN). These ones don't have to be many. At least three different cases, so we can get an idea of the modality-specific characteristics of these images. Put the IDs of these data sets on the wiki page. (the participants must do this.)&lt;br /&gt;
## Setup nightly tests on a separate Dashboard, where we will run the methods that we are experimenting with. The test should post result images and computation time. (Andy)&lt;br /&gt;
# By 3pm ET on June 21, 2007: [[NA-MIC/Projects/Theme/Template|Complete a templated wiki page for your project]]. Please do not edit the template page itself, but create a new page for your project and cut-and-paste the text from this template page.  If you have questions, please send an email to tkapur at bwh.harvard.edu.&lt;br /&gt;
# [[Engineering:TCON_2007#2005-06-21|June 21, 2007: TCON#4 Final Call before showtime...]]&lt;br /&gt;
# Please note that by the time we get to the project event, we should be trying to close off a project milestone rather than starting to work on one...&lt;br /&gt;
&lt;br /&gt;
== Projects ==&lt;br /&gt;
&lt;br /&gt;
=== Template ===&lt;br /&gt;
&lt;br /&gt;
http://www.na-mic.org/Wiki/index.php/NA-MIC/Projects/Theme/Template - Please use this template intead of the 4-block ppts.&lt;br /&gt;
&lt;br /&gt;
===DBP II===&lt;br /&gt;
These are projects by the new set of DBPS:&lt;br /&gt;
#[[Projects/Structural/2007_Project_Week_Lesion_Classification_in_Lupus|Lesion Classification in Lupus]] (MIND/UNM)&lt;br /&gt;
#[[Collaboration/JHU/Brachytherapy_needle_positioning_robot_integration | Segmentation and Registration Tools for Robotic Prostate Interventions]] (JHU/Queen's)&lt;br /&gt;
#[[Projects/Structural/2007_Project_Week_Cortical_Thickness_for_Autism|Cortical Thickness Measurement for UNC Autism Study]] (Clement Vachet, Heather Hazlett, Martin Styner)&lt;br /&gt;
#[[DBP2:Harvard|Velocardiofacial Syndrome (VCFS) as a genetic model for schizophrenia]] (Harvard)&lt;br /&gt;
&lt;br /&gt;
===Structural Analysis===&lt;br /&gt;
#[[Projects/Structural/2007_Project_Week_EMSegmentation_Validation| EMSegmentation Validation]] (Brad Davis Kitware, Sylvain Bouix BWH)&lt;br /&gt;
#[[Projects/Structural/2007_Project_Week_vtkITK Wrapper for Rule Based Segmentation|vtkITK wrapper for rule based segmentation]] (John Melonakos GATech, Tauseef Rehman GATech, Brad Davis Kitware, Marek Kubicki BWH)&lt;br /&gt;
&lt;br /&gt;
===Diffusion Image Analysis===&lt;br /&gt;
# [[Projects/Diffusion/2007_Project_Week_DTI_Population_Analysis| DTI population analysis]] (Casey Goodlett UNC, Jim Miller GE, Marek Kubicki BWH)&lt;br /&gt;
#[[Projects/Diffusion/2007_Project_Week_Geodesic_Tractography| Geodesic Tractography]] (John Melonakos GATech, Marc Niethammer BWH, Marek Kubicki BWH)&lt;br /&gt;
# [[Projects/Diffusion/2007_Project_Week_Slicer 3 Whole Brain Seeding|Slicer3 Whole brain Seeding platform: data representation and pipeline execution]] (Raul San Jose, Lauren O'Donnell, Alex Yarmarkovich)&lt;br /&gt;
# [[Projects/Diffusion/2007_Project_Week_Slicer3 Tractography Editor|Slicer 3 Tractography Editor]] (Lauren O'Donnell, Raul San Jose, Alex Yarmarkovich)&lt;br /&gt;
# [[Projects/Diffusion/2007_Project_Week_Contrasting Tractography Measures|Contrasting Tractography Measures]] (Marek Kubicki, Doug Markant, Doug Terry)&lt;br /&gt;
# [[Projects/Diffusion/2007_Project_Week_DTI_Registration|Distortion Correction in DWI]] (Ran Tao, Utah)&lt;br /&gt;
&lt;br /&gt;
===NA-MIC Kit===&lt;br /&gt;
#Slicer3&lt;br /&gt;
##[[Projects/Slicer3/2007_Project_Week_QDEC_Slicer3_Integration|QDEC Integration into Slicer3]](Nicole Aucoin BWH, Kevin Teich MGH, Nick Schmansky MGH, Doug Greve MGH, Gheorghe Postelnicu MGH, Steve Pieper Isomics)&lt;br /&gt;
##[[Projects/Slicer3/2007_Project_Week_Display_Optimization| Display Optimization]] (Raimundo Sierra, David Gobbi, Steve Pieper)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_MRML_Scenes_for_the_Execution_Model_including Transforms|MRML Scenes for the Execution Model including Transforms]] (Jim Miller, Brad Davis, Nicole Aucoin, Alex Yarmarkovich, Steve Pieper)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_Support for Unstructured Grids|Support for Unstructured Grids]] (Steve, Nicole, Alex, Curt)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_Python support in Slicer3|Python Support in Slicer 3]] (Luca, Steve, Dan)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_CPack, Ctest infrastructure improvements|CPack, CTest infrastructure Improvements]] (Bill Hoffman, Katie, Steve)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_Drafting Human Interface and Slicer Style|Drafting Human Interface and Slicer Style]] Guidelines (Wendy,Yumin)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_Slicer Matlab Pipeline for scalars and tensors|Slicer Matlab Pipeline for Tensors]] (Katharina, Sylvain, Steve)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_Support for electron microscopy | Dendritic Spine Morphometrics]] (Bryan Smith)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_Review of Slicer3 CMake Files | Review of Slicer3 CMake Files]] (Steve, Jim, Luca, Bill)&lt;br /&gt;
## [[Projects/Slicer3/2007_Project_Week_ROIs in Slicer3 | ROIs in Slicer3]] (Wendy, Jim, Nicole, Steve, Ron)&lt;br /&gt;
# Slicer2&lt;br /&gt;
&lt;br /&gt;
===External Collaborations===&lt;br /&gt;
# Meshing&lt;br /&gt;
## [[Collaboration/Iowa/Meshing/Adding VTK Interactive WWidgets to Slicer3]] (Will, Vince, Kiran, Curt)&lt;br /&gt;
## [[Collaboration/Iowa/Meshing/Migrate Iowa Neural Net code to pure ITK]] (Vince, Stephen)&lt;br /&gt;
# [[Collaboration/WFU/NonHuman Primate Neuroimaging| Applying EMSegmenter to NonHuman Primate Neuroimaging]](Chris Wyatt VT, Kilian Pohl BWH)&lt;br /&gt;
# Image-Guided Therapy &lt;br /&gt;
## [[Collaboration/MGH/Radiation Therapy Radiation Therapy Planning]] (Greg Sharp MGH, Tina Kapur BWH, Sandy Wells BWH, Steve Pieper Isomics, Katie Hayes BWH)&lt;br /&gt;
## [[Collaboration/JHU/Brachytherapy needle positioning robot integration|Brachytherapy needle positioning robot integration]] (Csaba Csoma, Peter Kazanzides JHU, David Gobbi Queen's, Katie Hayes BWH)&lt;br /&gt;
# Registration&lt;br /&gt;
## [[Collaboration/UIowa/Non_Rigid_Registration|Implementing Non-rigid Image Registration and Evaluation Project (NIREP) software using NA-MIC Kit]] (Gary Christensen UIowa, Stephen Aylward, Kitware, Sandy Wells BWH)&lt;br /&gt;
## [[Collaboration/UIowa/Developing Electronic Atlas Software using NA-MIC Kit|Developing Electronic Atlas Software using NA-MIC Kit]] (Gary Christensen UIowa, Jeff Grethe, Wendy)&lt;br /&gt;
## [[Collaboration/UIowa/Developing a GUI for non-rigid image registration programs using NA-MIC Kit|Developing a GUI for non-rigid image registration programs using NA-MIC Kit]] (Gary Christensen UIowa, Yumin Kitware)&lt;br /&gt;
# [[Collaboration/VMTK |vmtk (vmtk.sourceforge.net) integration within Slicer3]] (Luca Antiga, MNI, Dan Blezek GE)&lt;br /&gt;
# [[Collaboration/NWU/Radiology Workstation| A Translation Station]](Skip, Alex, Vlad, Pat, Alex, Steve)&lt;br /&gt;
# [[NA-MIC_NCBC_Collaboration:3D%2Bt_Cells_Lineage:GoFigure|3D+t Cells Lineage:GoFigure]] (Alex G, Yumin)&lt;br /&gt;
&lt;br /&gt;
===Non-Medical Collaborations===&lt;br /&gt;
* [[Collaboration/Harvard IIC/AstroMed]] (Michael Halle, Douglas Alan)&lt;br /&gt;
&lt;br /&gt;
==Attendee List==&lt;br /&gt;
#John Melonakos, Georgia Tech, Core 1&lt;br /&gt;
#Tauseef Rehman, Georgia Tech, Core 1&lt;br /&gt;
#Casey Goodlett, UNC, Core 1, &lt;br /&gt;
#Serdar K Balci, MIT, Core 1&lt;br /&gt;
#Elliot Uvero, MIT, Core 1&lt;br /&gt;
#Ran Tao, Utah, Core 1&lt;br /&gt;
#Kevin Teich, MGH, Core 1&lt;br /&gt;
#W. Bryan Smith, UCSD/NCMIR, Core 2&lt;br /&gt;
#Jeffrey Grethe, UCSD, Core 2&lt;br /&gt;
#Marco Ruiz, UCSD, Core 2&lt;br /&gt;
#Neil Jones, UCSD, Core 2&lt;br /&gt;
#Jim Miller, GE Core 2, &lt;br /&gt;
#Dan Blezek, GE Core 2&lt;br /&gt;
#Steve Pieper, Isomics, Core 2&lt;br /&gt;
#Alex Yarmarkovich, Isomics, Core 2&lt;br /&gt;
#Katie Hayes, BWH, Core 2&lt;br /&gt;
#Nicole Aucoin, BWH, Core 2&lt;br /&gt;
#Will Schroeder, Kitware, Core 2&lt;br /&gt;
#Yumin Yuan, Kitware, Core 2&lt;br /&gt;
#Brad Davis, Kitware, Core 2&lt;br /&gt;
#Luis Ibanez, Kitware, Core 2&lt;br /&gt;
#Bill Hoffman, Kitware, Core 2 (Mon, Tue)&lt;br /&gt;
#Sylvain Bouix, BWH, Core 3&lt;br /&gt;
#Marek Kubicki, BWH, Core 3 (Mon)&lt;br /&gt;
#Katharina Quintus, BWH, Core 3&lt;br /&gt;
#Marc Niethammer, BWH. Core 3&lt;br /&gt;
#Clement Vachet, UNC Core 3 (II)  &lt;br /&gt;
#David Gobbi, Queen's University, Core 3 (II)&lt;br /&gt;
#Csaba Csoma, Johns Hopkins University, Core 3 (II) &lt;br /&gt;
#H. Jeremy Bockholt, The MIND Institute, Core 3 (II)&lt;br /&gt;
#Mark Scully, The MIND Institute, Core 3 (II)&lt;br /&gt;
#Sumner Williams, The MIND Institute, Core 3 (II)/Collaborator R01&lt;br /&gt;
#Zack Galbreath, Kitware, Core 4 (Mon, Tue)&lt;br /&gt;
#Tina Kapur, BWH, Core 6&lt;br /&gt;
#Ron Kikinis, Core 7, PI&lt;br /&gt;
#Chris Wyatt, Virginia Tech, Collaborator R01&lt;br /&gt;
#Vincent Magnotta, University of Iowa, Collaborator R01&lt;br /&gt;
#Kiran Shivanna, University of Iowa, Collaborator R01&lt;br /&gt;
#Peter Kazanzides, JHU, Collaborator (Wed or Thurs)&lt;br /&gt;
#Luca Antiga, Mario Negri Institute, Collaborator&lt;br /&gt;
#Stephen Aylward, Kitware, Collaborator&lt;br /&gt;
#Douglas Alan, Harvard IIC, Collaborator&lt;br /&gt;
#Michael Halle, BWH/IIC, Collaborator&lt;br /&gt;
#Wendy Plesniak, BWH, Collaborator&lt;br /&gt;
#Kilian Pohl, BWH Collaborator&lt;br /&gt;
#Raimundo Sierra, BWH, Collaborator&lt;br /&gt;
#Lauren O'Donnell, BWH, Collaborator&lt;br /&gt;
#Raul San Jose, BWH, Collaborator&lt;br /&gt;
#Clare Tempany, BWH Collaborator (Tuesday, June 26th only)&lt;br /&gt;
#Noby Hata, BWH Collaborator (Monday, June 25th only)&lt;br /&gt;
#Haiying Liu, BWH Collaborator&lt;br /&gt;
#Hans Johnson, University of Iowa, Collaborator&lt;br /&gt;
#Gary E. Christensen, University of Iowa, Collaborator&lt;br /&gt;
#Joo Hyun (Paul) Song, University of Iowa, Gary's student&lt;br /&gt;
#Xiujuan Geng, University of Iowa, Gary's student&lt;br /&gt;
#Jake Nickel, University of Iowa, Gary's student&lt;br /&gt;
#Nick Kiguta, University of Iowa, Gary's student&lt;br /&gt;
#Kunlin Cao, University of Iowa, Gary's student&lt;br /&gt;
#James Harris, University of Iowa, Gary's student&lt;br /&gt;
#Kai Ding, University of Iowa, Gary's student&lt;br /&gt;
#Jeff Hawley, University of Iowa, Gary's student&lt;br /&gt;
#Skip Talbot, Northwestern University, Collaborator &lt;br /&gt;
#Alex Kogan, Northwestern University, Collaborator &lt;br /&gt;
#Vladimir Kleper, Northwestern University, Collaborator &lt;br /&gt;
#Pat Mongkolwat, Northwestern University, Collaborator &lt;br /&gt;
#Greg Sharp, MGH, Collaborator&lt;br /&gt;
#Lilla Zollei, MGH, Collaborator (Monday, Tuesday)&lt;br /&gt;
#James Ross, GE, Collaborator&lt;br /&gt;
#Alex Gouaillard, CEGS Caltech, Collaborator&lt;br /&gt;
#Sean Megason, CEGS caltech, Collaborator&lt;br /&gt;
#Clif Burdette, Acousticmed, Collaborator&lt;br /&gt;
#Jack Blevins, Acousticmed, Collaborator&lt;br /&gt;
#Curtis Lisle, KnowledgeVis, Collaborator&lt;br /&gt;
#C-F Westin, LMI&lt;br /&gt;
No more attendees.  We have reached capacity.&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12246</id>
		<title>Projects/Diffusion/2007 Project Week DTI Registration</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12246"/>
		<updated>2007-06-21T20:42:37Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:ProjectWeek-2007.png|thumb|left|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]]&lt;br /&gt;
&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
__NOTOC__&lt;br /&gt;
===Key Investigators===&lt;br /&gt;
* Utah: Ran Tao, Tom Fletcher, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;h1&amp;gt;Objective&amp;lt;/h1&amp;gt;&lt;br /&gt;
We want to implement the Mutual Information metric using partial voluming  for  the registration of multi-modal images.&lt;br /&gt;
The aim is to correct EPI distortions in diffusion-weighted images (DWIs). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Approach, Plan &amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach is to register the DWIs to the baseline (B0) image using affine transformations and mutual information. We are  implementing a  version of MI that interpolates both joint histogram and partial voluming. This is smoother than the Mattes MI currently in ITK. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Progress&amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
We have implemented PTV MI with 3D translation and 2D affine transformations.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br style=&amp;quot;clear: both;&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Additional Information==&lt;br /&gt;
[[Image:ptv.jpg|thumb|left|480px|Plot of MI versus xyz translation using PTV (T1 and T2 images)]]&lt;br /&gt;
[[Image:mattes.jpg|thumb|left|480px|Same plot using Mattes ]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12244</id>
		<title>Projects/Diffusion/2007 Project Week DTI Registration</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12244"/>
		<updated>2007-06-21T20:38:52Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:ProjectWeek-2007.png|thumb|left|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]]&lt;br /&gt;
&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
__NOTOC__&lt;br /&gt;
===Key Investigators===&lt;br /&gt;
* Utah: Ran Tao, Tom Fletcher, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;h1&amp;gt;Objective&amp;lt;/h1&amp;gt;&lt;br /&gt;
We want to implement the Mutual Information metric using partial voluming  for  the registration of multi-modal images.&lt;br /&gt;
The aim is to correct EPI distortions in diffusion-weighted images (DWIs). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Approach, Plan &amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach is to register the DWIs to the baseline (B0) image using affine transformations and mutual information. We are  implementing a  version of MI that interpolates both joint histogram and partial voluming. This is smoother than the Mattes MI currently in ITK. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Progress&amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br style=&amp;quot;clear: both;&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Additional Information==&lt;br /&gt;
[[Image:ptv.jpg|thumb|left|480px|Plot of MI versus xyz translation using PTV (T1 and T2 images)]]&lt;br /&gt;
[[Image:mattes.jpg|thumb|left|480px|Same plot using Mattes ]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12241</id>
		<title>Projects/Diffusion/2007 Project Week DTI Registration</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12241"/>
		<updated>2007-06-21T20:28:52Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:ProjectWeek-2007.png|thumb|left|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]]&lt;br /&gt;
&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
__NOTOC__&lt;br /&gt;
===Key Investigators===&lt;br /&gt;
* Utah: Ran Tao, Tom Fletcher, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;h1&amp;gt;Objective&amp;lt;/h1&amp;gt;&lt;br /&gt;
We want to implement the Mutual Information metric using partial voluming  for  the registration of multi-modal images.&lt;br /&gt;
The aim is to correct EPI distortions in diffusion-weighted images (DWIs). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Approach, Plan &amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach is to register the DWIs to the baseline (B0) image using affine transformations and mutual information. We are  implementing a  version of MI that interpolates both joint histogram and partial voluming. This is smoother than the Mattes MI currently in ITK. &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Progress&amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br style=&amp;quot;clear: both;&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Additional Information==&lt;br /&gt;
[[Image:ptv.jpg|thumb|left|320px|]]&lt;br /&gt;
[[Image:mattes.jpg|thumb|left|320px]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Mattes.jpg&amp;diff=12240</id>
		<title>File:Mattes.jpg</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Mattes.jpg&amp;diff=12240"/>
		<updated>2007-06-21T20:26:08Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Ptv.jpg&amp;diff=12239</id>
		<title>File:Ptv.jpg</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Ptv.jpg&amp;diff=12239"/>
		<updated>2007-06-21T20:25:23Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12221</id>
		<title>Projects/Diffusion/2007 Project Week DTI Registration</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects/Diffusion/2007_Project_Week_DTI_Registration&amp;diff=12221"/>
		<updated>2007-06-21T20:12:41Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:ProjectWeek-2007.png|thumb|left|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]]&lt;br /&gt;
&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
__NOTOC__&lt;br /&gt;
===Key Investigators===&lt;br /&gt;
* Utah: Ran Tao, Tom Fletcher, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;h1&amp;gt;Objective&amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Approach, Plan &amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h1&amp;gt;Progress&amp;lt;/h1&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br style=&amp;quot;clear: both;&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Additional Information==&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2007_Programming/Project_Week_MIT&amp;diff=10745</id>
		<title>2007 Programming/Project Week MIT</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2007_Programming/Project_Week_MIT&amp;diff=10745"/>
		<updated>2007-05-24T14:53:47Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: /* Attendee List */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Back to [[Engineering:Programming_Events|Programming/Project Events]]&lt;br /&gt;
[[Image:ProjectWeek-2007.png|thumb|450px|right|Summer 2007]]&lt;br /&gt;
== Logistics ==&lt;br /&gt;
&lt;br /&gt;
'''Dates:''' June 25-29, 2007&lt;br /&gt;
&lt;br /&gt;
'''Location:''' MIT. [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]].&lt;br /&gt;
&lt;br /&gt;
'''Registration Fee:''' $200 (this will cover the cost of breakfast and lunch for the week). Due by Tuesday, June 19, 2007. Please make checks out to &amp;quot;Massachusetts Institute of Technology&amp;quot; and mail to: &lt;br /&gt;
Donna Kaufman, MIT, 77 Massachusetts Ave., 38-409b, Cambridge, MA 02139&lt;br /&gt;
&lt;br /&gt;
If you are attending for one day only, the registration fee is not required.&lt;br /&gt;
&lt;br /&gt;
'''Hotel:''' There is no official hotel for the meeting. Here is some information about Boston area hotels that are convenient to NA-MIC events: [[Boston_Hotels|Boston_Hotels]]. Summer is tourist season in Boston, so please book your rooms early.&lt;br /&gt;
&lt;br /&gt;
([[Project Week Logistics Checklist|This is a checklist for the onsite planning items]])&lt;br /&gt;
&lt;br /&gt;
===Introduction to NA-MIC Project Week===&lt;br /&gt;
&lt;br /&gt;
This is a week of hands on activity -- programming using the [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, and clinical application -- that has become one of the major events in the NA-MIC calendar. A full week of hands on activities is held in the summer at MIT (typically the last week of June), and for half a week in Salt Lake City in the winter (typically the second week of January).  &lt;br /&gt;
The main goal of these events if to move forward the deliverables of NA-MIC. NA-MIC participants and their collaborators are welcome to attend.  &lt;br /&gt;
&lt;br /&gt;
* NA-MIC Members: Participation in this event is voluntary -- if you don't think this will help you move forward in your work, there is no obligation to attend.&lt;br /&gt;
* Ideal candidates are those who want to contribute to the NA-MIC Kit, and those who can help make it happen.&lt;br /&gt;
* This is not an introduction to the components of the NA-MIC Kit.&lt;br /&gt;
* NA-MIC Core 1 (Algorithms) - bring your algorithms and code to work on in the company of Core 2 engineers and Core 3 scientists.&lt;br /&gt;
* NA-MIC Core 2 (Engineering) - bring your code for infrastructure and applications to extend the NA-MIC Kit capabiliities, integrate Core 1 algorithms, and refine worflows for Core 3.&lt;br /&gt;
* NA-MIC Core 3 (DBP) - bring your data to work on with the NA-MIC Kit and get assistance and provide feedback to Core 1 scientists and Core 2 engineers.&lt;br /&gt;
* External Collaborators - if you are working on a project that uses the [[NA-MIC-Kit|NA-MIC kit]], and want to participate to get help from NA-MIC Engineering, please send an email to Tina Kapur (tkapur at bwh.harvard.edu).  Please note that the event is open to people outside NA-MIC, subject to availability.&lt;br /&gt;
* Everyone should '''bring a laptop'''. We will have three or four projectors.&lt;br /&gt;
* About half the time will be spent working on projects and the other half in project related discussions.&lt;br /&gt;
* You '''do''' need to be actively working on a NA-MIC related project in order to make this investment worthwhile for everyone.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Draft Agenda===&lt;br /&gt;
Please note that this agenda is a draft and will be finalized by June 15th.&lt;br /&gt;
&lt;br /&gt;
* Monday June 25&lt;br /&gt;
** noon-1pm lunch &lt;br /&gt;
** 1-3:30pm Introduce Projects using templated wiki pages (all Project Leads)&lt;br /&gt;
** 3:30-5:30pm Start project work&lt;br /&gt;
* Tuesday&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 9-945am: NA-MIC Software Process (Bill Hoffman - TBC)&lt;br /&gt;
** 10-10:30am Slicer 3.0 Update(Jim Miller, Steve Pieper)&lt;br /&gt;
** 11-12pm: [[Special topic breakout: IGT for Prostate]] &lt;br /&gt;
** noon lunch&lt;br /&gt;
** 1-2pm: [[Special topic breakout: KWWidgets]] &lt;br /&gt;
** 2-3pm: [[Special topic breakout: Non-Linear Registration]] &lt;br /&gt;
** 3-4pm: [[Special topic breakout: Atlases]] &lt;br /&gt;
** 4-5pm: [[Special topic breakout: DWI/DTI]] &lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Wednesday&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** noon lunch&lt;br /&gt;
** 1-2pm: Special topic breakout: [[NA-MIC:2007 Plan for Long-Lead Time Items|  Plan for Long Lead Time Items]]&lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Thursday&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** noon lunch&lt;br /&gt;
** 3:30-5pm Special topic breakout: TBD&lt;br /&gt;
** 5:30pm adjourn for day&lt;br /&gt;
* Friday June 29&lt;br /&gt;
** 8:30am breakfast&lt;br /&gt;
** 10am-noon: Project Progress using the templated wiki pages&lt;br /&gt;
** noon lunch boxes and adjourn&lt;br /&gt;
&lt;br /&gt;
=== Preparation ===&lt;br /&gt;
&lt;br /&gt;
# Please make sure that you are on the [http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-programming-week na-mic-programming-week mailing list]&lt;br /&gt;
# [[Engineering:TCON_2007#2007-05-03|May 3, 2007: Kickoff TCON#1 to discuss Engr Core Projects and Assign/Verify Teams]]&lt;br /&gt;
# [[Engineering:TCON_2007#2007-05-10|May 10, 2007: TCON#2 to discuss Projects and Assign/Verify Teams]]&lt;br /&gt;
# [[Engineering:TCON_2007#2007-05-17|May 17, 2007: TCON#3 to discuss outstanding projects and teams from previous week]]&lt;br /&gt;
# May 17, 2007: Create a Wiki page per project (the participants must do this, hopefully jointly)&lt;br /&gt;
# May 31, 2007: Create a directory for each project on the [[Engineering:SandBox|NAMIC Sandbox]] (Andy)&lt;br /&gt;
## Commit on each sandbox directory the code examples/snippets that represent our first guesses of appropriate methods. (Luis and Steve will help with this, as needed)&lt;br /&gt;
## Gather test images in any of the Data sharing resources we have (e.g. the BIRN). These ones don't have to be many. At least three different cases, so we can get an idea of the modality-specific characteristics of these images. Put the IDs of these data sets on the wiki page. (the participants must do this.)&lt;br /&gt;
## Setup nightly tests on a separate Dashboard, where we will run the methods that we are experimenting with. The test should post result images and computation time. (Andy)&lt;br /&gt;
# By 3pm ET on June 21, 2007: Complete the templated wiki page for your project.  THe final version of this template will be circulated by May 25th.&lt;br /&gt;
# [[Engineering:TCON_2007#2005-06-21|June 21, 2007: TCON#4 Final Call before showtime...]]&lt;br /&gt;
# Please note that by the time we get to the project event, we should be trying to close off a project milestone rather than starting to work on one...&lt;br /&gt;
&lt;br /&gt;
== Projects ==&lt;br /&gt;
&lt;br /&gt;
===DBP II===&lt;br /&gt;
These are projects by the new set of DBPS:&lt;br /&gt;
*[[DBP2:MIND | Longitudinal Classification of White Matter Lesions in Lupus]] (MIND/UNM)&lt;br /&gt;
*[[DBP2:JHU | Segmentation and Registration Tools for Robotic Prostate Interventions]] (JHU/Queen's)&lt;br /&gt;
*[[DBP2:UNC |Longitudinal MRI study of early brain development in neuropsychiatric disorder: UNC Autism Study]] (UNC)&lt;br /&gt;
*[[DBP2:Harvard|Velocardiofacial Syndrome (VCFS) as a genetic model for schizophrenia]] (Harvard)&lt;br /&gt;
&lt;br /&gt;
===Structural Analysis===&lt;br /&gt;
*EMSegmentation Validation (Brad Davis, Sylvain Bouix)&lt;br /&gt;
*vtkITK wrapper for rule based segmentation (John Melonakos, Brad Davis, Marek Kubicki)&lt;br /&gt;
** Application of the Slicer2 module on DBP data&lt;br /&gt;
** Conversion to Slicer3&lt;br /&gt;
&lt;br /&gt;
===Diffusion Image Analysis===&lt;br /&gt;
* [[Algorithm:UNC:DTI#Population_Analysis | DTI population analysis]] (Casey Goodlett)&lt;br /&gt;
* Slicer3 Whole brain Seeding platform: data representation and pipeline execution (Raul San Jose, Lauren O'Donnell, Alex Y.)&lt;br /&gt;
* Slicer3 Tractography editor (Lauren O'Donnell, Raul San Jose, Alex Y.)&lt;br /&gt;
&lt;br /&gt;
===NA-MIC Kit===&lt;br /&gt;
* Slicer3&lt;br /&gt;
** [[2007_Project_Week_MIT_QDEC_Slicer3_Integration | QDEC integration into Slicer3]] (Nicole Aucoin BWH, Kevin Teich MGH, Nick Schmansky MGH, Doug Greve MGH, Gheorghe Postelnicu MGH, Steve Pieper Isomics)&lt;br /&gt;
** [[2007_Project_Week_MIT_Display_Optimization | Display Optimization]] (Raimundo Sierra, David Gobbi, Steve Pieper)&lt;br /&gt;
** [[2007_Project_Week_MIT_MRML_Scenes_for_the_Execution_Model]], including transforms (Jim Miller, Brad Davis, Nicole Aucoin, Alex Yarmarkovich, Steve Pieper)&lt;br /&gt;
** Support for Unstructured Grids (Steve, Nicole, Alex, Curt)&lt;br /&gt;
** Python support in Slicer3 (Luca, Steve, Dan)&lt;br /&gt;
** CPack, Ctest infrastructure improvements (Andy, Katie, Steve)&lt;br /&gt;
** Drafting Human Interface and Slicer Style Guidelines (Wendy)&lt;br /&gt;
** Slicer Matlab Pipeline for scalars and tensors (Katharina, Sylvain, Steve)&lt;br /&gt;
* Slicer2&lt;br /&gt;
&lt;br /&gt;
===External Collaborations===&lt;br /&gt;
* Meshing&lt;br /&gt;
** Adding VTK interactive wwidgets to Slicer3 (Will, Vince, Kiran, Curt)&lt;br /&gt;
** Migrate Iowa Neural Net code to pure ITK (Vince, Stephen)&lt;br /&gt;
*IGT &lt;br /&gt;
** [[Tracker Integration]] (Noby, Haiying, Katie Hayes BWH)&lt;br /&gt;
** [[Collaboration/MGH/Radiation Therapy Radiation Therapy Planning]] (Greg Sharp MGH, Tina Kapur BWH, Sandy Wells BWH, Steve Pieper Isomics, Katie Hayes BWH)&lt;br /&gt;
** [[Collaboration/JHU/Brachytherapy needle positioning robot integration|Brachytherapy needle positioning robot integration]] (Csaba Csoma, Peter Kazanzides JHU, David Gobbi Queen's, Katie Hayes BWH)&lt;br /&gt;
** [[Collaboration/BWH/RadVision and Tracker Integration|RadVision and Tracker Integration]] (Jack Blevins, Noby)&lt;br /&gt;
* Registration&lt;br /&gt;
** [[Collaboration/UIowa/Non_Rigid_Registration|Implementing Non-rigid Image Registration and Evaluation Project (NIREP) software using NA-MIC Kit]] (Gary Christensen UIowa, Stephen Aylward, Kitware, Sandy Wells BWH)&lt;br /&gt;
** [[Collaboration/UIowa/Developing Electronic Atlas Software using NA-MIC Kit|Developing Electronic Atlas Software using NA-MIC Kit]] (Gary Christensen UIowa, Jeff Grethe)&lt;br /&gt;
** [[Collaboration/UIowa/Developing a GUI for non-rigid image registration programs using NA-MIC Kit|Developing a GUI for non-rigid image registration programs using NA-MIC Kit]] (Gary Christensen UIowa, Yumin Kitware)&lt;br /&gt;
* [[Collaboration/VMTK |vmtk (vmtk.sourceforge.net) integration within Slicer3]] (Luca Antiga, MNI, Dan Blezek(GE))&lt;br /&gt;
* [[Collaboration/NWU/Radiology Workstation| A Translation Station]](Skip, Alex, Vlad, Pat, Alex, Steve)&lt;br /&gt;
* [[Collaboration/WFU/NonHuman Primate Neuroimaging| Applying EMSegmenter to NonHuman Primate Neuroimaging]](Chris Wyatt VT, Kilian Pohl BWH)&lt;br /&gt;
* [[NA-MIC_NCBC_Collaboration:3D%2Bt_Cells_Lineage:GoFigure|3D+t Cells Lineage:GoFigure]] (Alex G, Yumin)&lt;br /&gt;
&lt;br /&gt;
===Non-Medical Collaborations===&lt;br /&gt;
* AstroMed (Michael Halle, Douglas Alan)&lt;br /&gt;
&lt;br /&gt;
==Attendee List==&lt;br /&gt;
#Kilian Pohl, BWH, Core 1&lt;br /&gt;
#John Melonakos, Georgia Tech, Core 1, (Hotel at MIT request)&lt;br /&gt;
#Tauseef Rehman, Georgia Tech, Core 1&lt;br /&gt;
#Casey Goodlett, UNC, Core 1, (Hotel at MIT request)&lt;br /&gt;
#W. Bryan Smith, UCSD/NCMIR, Core 2&lt;br /&gt;
#Jim Miller, GE Core 2, Booked at the Hotel At MIT&lt;br /&gt;
#Steve Pieper, Isomics, Core 2&lt;br /&gt;
#Katie Hayes, BWH, Core 2&lt;br /&gt;
#Dan Blezek, GE Core 2, Booked at the Hotel At MIT&lt;br /&gt;
#Tina Kapur, BWH, Core 6&lt;br /&gt;
#Ron Kikinis, Core 7, PI&lt;br /&gt;
#Peter Kazanzides, JHU, Collaborator&lt;br /&gt;
#Wendy Plesniak, BWH, Collaborator&lt;br /&gt;
#Luca Antiga, Mario Negri Institute, Collaborator&lt;br /&gt;
#Sylvain Bouix, BWH, Core 3&lt;br /&gt;
#Marek Kubicki, BWH, Core 3 &lt;br /&gt;
#Chris Wyatt, Virginia Tech, Collaborator&lt;br /&gt;
#Nicole Aucoin, BWH, Core 2&lt;br /&gt;
#Will Schroeder, Kitware, Core 2&lt;br /&gt;
#Yumin Yuan, Kitware, Core 2&lt;br /&gt;
#Brad Davis, Kitware, Core 2&lt;br /&gt;
#Stephen Aylward, Kitware, Collaborator&lt;br /&gt;
#Luis Ibanez, Kitware, Core 2&lt;br /&gt;
#Bill Hoffman, Kitware, Core 2&lt;br /&gt;
#Raimundo Sierra, BWH, Core 2&lt;br /&gt;
#Clare Tempany, BWH Collaborator (Tuesday, June 26th only)&lt;br /&gt;
#Noby Hata, BWH Collaborator (Monday, June 25th only)&lt;br /&gt;
#Haiying Liu, BWH Collaborator&lt;br /&gt;
#Alex Yarmarkovich, Isomics, Core 2&lt;br /&gt;
#Vincent Magnotta, University of Iowa, Collaborator (Hotel at MIT request)&lt;br /&gt;
#Hans Johnson, University of Iowa, Collaborator&lt;br /&gt;
#Gary E. Christensen, University of Iowa, Collaborator&lt;br /&gt;
#Joo Hyun (Paul) Song, University of Iowa, Gary's student&lt;br /&gt;
#Xiujuan Geng, University of Iowa, Gary's student&lt;br /&gt;
#Jake Nickel, University of Iowa, Gary's student&lt;br /&gt;
#Nick Kiguta, University of Iowa, Gary's student&lt;br /&gt;
#Kunlin Cao, University of Iowa, Gary's student&lt;br /&gt;
#James Harris, University of Iowa, Gary's student&lt;br /&gt;
#Kai Ding, University of Iowa, Gary's student&lt;br /&gt;
#Jeff Hawley, University of Iowa, Gary's student&lt;br /&gt;
#Skip Talbot, Northwestern University, Collaborator (Hotel at MIT request)&lt;br /&gt;
#Alex Kogan, Northwestern University, Collaborator (Hotel at MIT request)&lt;br /&gt;
#Vladimir Kleper, Northwestern University, Collaborator (Hotel at MIT request)&lt;br /&gt;
#Pat Mongkolwat, Northwestern University, Collaborator (Hotel at MIT request)&lt;br /&gt;
#Csaba Csoma, Johns Hopkins University, Collaborator (Hotel at MIT request)&lt;br /&gt;
#David Gobbi, Queen's University, Collaborator (Hotel at MIT request)&lt;br /&gt;
#H. Jeremy Bockholt, The MIND Institute, DBP2:MIND PI&lt;br /&gt;
#Mark Scully, The MIND Institute, DBP2:MIND software engineer&lt;br /&gt;
#Sumner Williams, The MIND Institute, Magnotta/Johnson/Bockholt BRAINS grant software engineer&lt;br /&gt;
#Greg Sharp, MGH, Collaborator&lt;br /&gt;
#Lauren O'Donnell, BWH&lt;br /&gt;
#Raul San Jose, BWH&lt;br /&gt;
#Katharina Quintus, BWH, Core 3&lt;br /&gt;
#Marc Niethammer, BWH. Core 3&lt;br /&gt;
#Kevin Teich, MGH&lt;br /&gt;
#Michael Halle, BWH/IIC&lt;br /&gt;
#James Ross, GE&lt;br /&gt;
#Kiran Shivanna, University of Iowa, Collaborator (Hotel at MIT request)&lt;br /&gt;
#Douglas Alan, Harvard IIC&lt;br /&gt;
#Heather Cody Hazlett, UNC Core 3 (only part of week) (Hotel @ MIT request)&lt;br /&gt;
#Clement Vachet, UNC Core 3 (CS programmer) - full week  (Hotel @ MIT request)&lt;br /&gt;
#Rachel G. Smith, UNC Core 3 (image lab manager) - tentative (may not be full week)  (Hotel @ MIT request)&lt;br /&gt;
#Ran Tao, Utah, Core 1&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:FiberTractStatistics&amp;diff=9484</id>
		<title>Projects:FiberTractStatistics</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:FiberTractStatistics&amp;diff=9484"/>
		<updated>2007-04-19T22:04:50Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''Objective:''' We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.&lt;br /&gt;
&lt;br /&gt;
'''Progress:''' Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|DTI Software Infrastructure]] project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.&lt;br /&gt;
&lt;br /&gt;
''References:''&lt;br /&gt;
* Fletcher, P.T., Tao, R., Jeong, W.-K., Whitaker, R.T., &amp;quot;A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI,&amp;quot; to appear Information Processing in Medical Imaging (IPMI) 2007.&lt;br /&gt;
* Corouge, I., Fletcher, P.T., Joshi, S., Gilmore, J.H., and Gerig, G., &amp;quot;Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis,&amp;quot; Medical Image Analysis 10 (2006), 786--798.&lt;br /&gt;
* Corouge, I., Fletcher, P.T., Joshi, S., Gilmore J.H., and Gerig, G., Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis, Lecture Notes in Computer Science LNCS, James S. Duncan and Guido Gerig, editors, Springer Verlag, Vol. 3749, Oct. 2005, pp. 131 -- 138&lt;br /&gt;
* C. Goodlett, I. Corouge, M. Jomier, and G. Gerig, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .&lt;br /&gt;
&lt;br /&gt;
'''Key Investigators:'''&lt;br /&gt;
&lt;br /&gt;
* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig&lt;br /&gt;
* Utah: Tom Fletcher, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
'''Links:'''&lt;br /&gt;
&lt;br /&gt;
* [[Progress_Report:Diffusion_Tensor_Statistics|Diffusion Tensor Statistics Progress Report]]&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:genuFAp.jpg|thumb|320px|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.]]&lt;br /&gt;
|[[Image:genuFA.jpg|thumb|320px|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.]]&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:GenuFA.jpg&amp;diff=9483</id>
		<title>File:GenuFA.jpg</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:GenuFA.jpg&amp;diff=9483"/>
		<updated>2007-04-19T22:04:12Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:GenuFAp.jpg&amp;diff=9482</id>
		<title>File:GenuFAp.jpg</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:GenuFAp.jpg&amp;diff=9482"/>
		<updated>2007-04-19T22:03:54Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:FiberTractStatistics&amp;diff=9481</id>
		<title>Projects:FiberTractStatistics</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:FiberTractStatistics&amp;diff=9481"/>
		<updated>2007-04-19T21:54:29Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''Objective:''' We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.&lt;br /&gt;
&lt;br /&gt;
'''Progress:''' Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|DTI Software Infrastructure]] project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.&lt;br /&gt;
&lt;br /&gt;
''References:''&lt;br /&gt;
* Fletcher, P.T., Tao, R., Jeong, W.-K., Whitaker, R.T., &amp;quot;A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI,&amp;quot; to appear Information Processing in Medical Imaging (IPMI) 2007.&lt;br /&gt;
* Corouge, I., Fletcher, P.T., Joshi, S., Gilmore, J.H., and Gerig, G., &amp;quot;Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis,&amp;quot; Medical Image Analysis 10 (2006), 786--798.&lt;br /&gt;
* Corouge, I., Fletcher, P.T., Joshi, S., Gilmore J.H., and Gerig, G., Fiber Tract-Oriented Statistics for Quantitative Diffusion Tensor MRI Analysis, Lecture Notes in Computer Science LNCS, James S. Duncan and Guido Gerig, editors, Springer Verlag, Vol. 3749, Oct. 2005, pp. 131 -- 138&lt;br /&gt;
* C. Goodlett, I. Corouge, M. Jomier, and G. Gerig, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .&lt;br /&gt;
&lt;br /&gt;
'''Key Investigators:'''&lt;br /&gt;
&lt;br /&gt;
* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig&lt;br /&gt;
* Utah: Tom Fletcher, Ross Whitaker&lt;br /&gt;
&lt;br /&gt;
'''Links:'''&lt;br /&gt;
&lt;br /&gt;
* [[Progress_Report:Diffusion_Tensor_Statistics|Diffusion Tensor Statistics Progress Report]]&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Projects:AutomatedShapeModelConstruction&amp;diff=9479</id>
		<title>Projects:AutomatedShapeModelConstruction</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Projects:AutomatedShapeModelConstruction&amp;diff=9479"/>
		<updated>2007-04-19T21:51:32Z</updated>

		<summary type="html">&lt;p&gt;Fletcher: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt; Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]&lt;br /&gt;
&lt;br /&gt;
'''Objective:''' We are developing a new method for automatically constructing shape models, including defining boundary correspondences on shapes in a population. This method can be directly applied to segmentations of brain structures from structural MRI.&lt;br /&gt;
&lt;br /&gt;
'''Progress:''' We have implemented a software tool to automatically construct shape models from an input of several binary segmentations. This method finds boundary correspondences by creating the most efficient probability distribution for the population of input shapes. The shape models output by our method can then be used to compare differences in brain structure shape between healthy controls and patients with neuropsychiatric disorders. We are investigating the power of this method in statistical group comparisons.&lt;br /&gt;
&lt;br /&gt;
This method is currently being applied to studying shape changes in the hippocampus and caudate between normal and schizophrenic groups in collaboration with Harvard. We have also extended the method from single figure anatomical objects to a formulation of the multi-object correspondence optimization, and have applied it to a proof-of-concept application to the analysis of brain structure complexes from a longitudinal study of pediatric autism that is underway at UNC Chapel Hill.&lt;br /&gt;
&lt;br /&gt;
''References:''&lt;br /&gt;
* J. Cates, P.T. Fletcher, M. Styner, M. Shenton, R. Whitaker.  Shape Modeling and Analysis with Entropy-Based Particle Systems. IPMI 2007, accepted.&lt;br /&gt;
* J. Cates, P.T. Fletcher, R. Whitaker. Entropy-Based Particle Systems for Shape Corresopndence.  Mathematical Foundations of Computational Anatomy Workshop, MICCAI 2006. pp. 90-99 Oct 2006.&lt;br /&gt;
&lt;br /&gt;
'''Key Investigators:'''&lt;br /&gt;
&lt;br /&gt;
* Utah: Joshua Cates, Miriah Meyer, Tom Fletcher, Ross Whitaker&lt;br /&gt;
* Harvard PNL: Sylvain Bouix, Marc Niethammer, Doug Markant, Adam Cohen, Mark Dreusicke, Jim Levitt, Martha Shenton&lt;br /&gt;
* UNC: Martin Styner, Heather Cody Hazlett, Joe Piven&lt;br /&gt;
&lt;br /&gt;
'''Links:'''&lt;br /&gt;
&lt;br /&gt;
[[Algorithm:Utah|Utah Algorithms Page]]&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|[[Image:Lcomb-grayscale.png|thumbnail|Figure 1]]&lt;br /&gt;
|[[Image:Rcomb-grayscale.png|thumbnail|Figure 2]]&lt;br /&gt;
|[[Image:meanviews.png|thumbnail|Figure 3]]&lt;br /&gt;
|}&lt;br /&gt;
Figure 1,2 illustrates results of hypothesis testing for group differences from the control population for the left/right hippocampus and the left/right caudate.  Raw and FDR-corrected p-values are given. Areas of significant group differences ($p &amp;lt;= 0.05$) are shown as dark regions. Areas with insignificant group differences ($p &amp;gt; 0.05$) are shown as light regions.  Our results correlate with  with other published hypothesis testing results on this data.&lt;br /&gt;
&lt;br /&gt;
Figure 3 shows the raw p-values from hypothesis testing for group differences as color-maps on mean shapes of the autism group (top row) and the normal control group (bottom row).&lt;/div&gt;</summary>
		<author><name>Fletcher</name></author>
		
	</entry>
</feed>