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	<id>https://www.na-mic.org/w/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Chenchen78</id>
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	<updated>2026-04-06T00:45:17Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88926</id>
		<title>Shanghai 2015</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88926"/>
		<updated>2015-03-16T09:08:52Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Objective of the Workshop ==&lt;br /&gt;
The primary objective of this event is to introduce end-users and developers to the Slicer environment, with a particular focus on fiber tracking and development of Slicer extensions.&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*Date: Thursday, March 26, 2015 &lt;br /&gt;
*Location: Zhidao Building 2nd Meeting room (治道楼第二会议室), Shanghai Medical School(Fenglin Campus), Fudan University, Shanghai, China&lt;br /&gt;
*Registration: TBA&lt;br /&gt;
&lt;br /&gt;
==Local Organizer==&lt;br /&gt;
Prof. Zhijian Song, [http://www.fudan.edu.cn/en/ Fudan University]&lt;br /&gt;
&lt;br /&gt;
==Invited Faculty==&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis, M.D.], Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/spujol Sonia Pujol, Ph.D.] Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/pieper Steve Pieper, Ph.D.], Isomics Inc.&lt;br /&gt;
&lt;br /&gt;
== Tentative Agenda ==&lt;br /&gt;
&lt;br /&gt;
*8:45-9:00 am Computer setup assistance by the instructors&lt;br /&gt;
*9:00-9:15 am Welcome and Goals of the Workshop (Prof. ZhiJian/Prof. Zhang)&lt;br /&gt;
*9:15-9:45 am Introduction to NA-MIC and the Slicer community (Ron Kikinis)&lt;br /&gt;
*9:45-10:45 am An Introduction to Diffusion Tensor Imaging (Sonia Pujol)&lt;br /&gt;
*10:45-11:00 am Coffee break&lt;br /&gt;
*11:00-12:00 pm Neurosurgical Planning (Sonia Pujol)&lt;br /&gt;
*12:00 pm-12:15 pm Questions from the audience and concluding remarks&lt;br /&gt;
*12:15-1:15 pm Lunch&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Preparation for the Workshop ==&lt;br /&gt;
The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. &lt;br /&gt;
All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 2 GB of RAM and a dedicated graphic accelerator with 64mb of on board graphic memory are required. &lt;br /&gt;
&lt;br /&gt;
Please install the Slicer4.4 version appropriate to the laptop computer you'll be bringing to the tutorial:&lt;br /&gt;
&lt;br /&gt;
Please install the following datasets: [[media:Slicer3VisualizationDataset.zip | 3D Visualization Dataset]],[[media:DiffusionDataset.zip| Diffusion Dataset]] and [[Media:WhiteMatterExplorationData.zip|White Matter Exploration dataset]]. A technical training staff will be providing one-to-one assistance as needed.&lt;br /&gt;
&lt;br /&gt;
== Workshop installation ==&lt;br /&gt;
Classroom setting of tables to seat 15-20 attendees with laptop computers, two projectors, and an Internet connection for the instructors.&lt;br /&gt;
&lt;br /&gt;
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88805</id>
		<title>Shanghai 2015</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88805"/>
		<updated>2015-03-12T08:27:20Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Objective of the Workshop ==&lt;br /&gt;
The primary objective of this event is to introduce end-users and developers to the Slicer environment, with a particular focus on fiber tracking and development of Slicer extensions.&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*Date: Thursday, March 26, 2015 &lt;br /&gt;
*Location: Shanghai, China&lt;br /&gt;
*Registration: TBA&lt;br /&gt;
&lt;br /&gt;
==Local Organizer==&lt;br /&gt;
Prof. Zhijian Song, [http://www.fudan.edu.cn/en/ Fudan University]&lt;br /&gt;
&lt;br /&gt;
==Invited Faculty==&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis, M.D.], Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/spujol Sonia Pujol, Ph.D.] Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/pieper Steve Pieper, Ph.D.], Isomics Inc.&lt;br /&gt;
&lt;br /&gt;
== Tentative Agenda ==&lt;br /&gt;
&lt;br /&gt;
*8:45-9:00 am Computer setup assistance by the instructors&lt;br /&gt;
*9:00-9:15 am Welcome and Goals of the Workshop (Prof. ZhiJian/Prof. Zhang)&lt;br /&gt;
*9:15-9:45 am Introduction to NA-MIC and the Slicer community (Ron Kikinis)&lt;br /&gt;
*9:45-10:45 am An Introduction to Diffusion Tensor Imaging (Sonia Pujol)&lt;br /&gt;
*10:45-11:00 am Coffee break&lt;br /&gt;
*11:00-12:00 pm Neurosurgical Planning (Sonia Pujol)&lt;br /&gt;
*12:00 pm-12:15 pm Questions from the audience and concluding remarks&lt;br /&gt;
*12:15-1:15 pm Lunch&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Preparation for the Workshop ==&lt;br /&gt;
The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. &lt;br /&gt;
All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 2 GB of RAM and a dedicated graphic accelerator with 64mb of on board graphic memory are required. &lt;br /&gt;
&lt;br /&gt;
Please install the Slicer4.4 version appropriate to the laptop computer you'll be bringing to the tutorial:&lt;br /&gt;
&lt;br /&gt;
Please install the following datasets: [[media:Slicer3VisualizationDataset.zip | 3D Visualization Dataset]],[[media:DiffusionDataset.zip| Diffusion Dataset]] and [[Media:WhiteMatterExplorationData.zip|White Matter Exploration dataset]]. A technical training staff will be providing one-to-one assistance as needed.&lt;br /&gt;
&lt;br /&gt;
== Workshop installation ==&lt;br /&gt;
Classroom setting of tables to seat 15-20 attendees with laptop computers, two projectors, and an Internet connection for the instructors.&lt;br /&gt;
&lt;br /&gt;
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88426</id>
		<title>Shanghai 2015</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88426"/>
		<updated>2015-01-07T17:13:29Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Objective of the Workshop ==&lt;br /&gt;
The primary objective of this event is to introduce end-users and developers to the Slicer environment, with a particular focus on fiber tracking and development of Slicer extensions.&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*Date: Thursday, March 26, 2015 &lt;br /&gt;
*Location: Shanghai, China&lt;br /&gt;
*Registration: TBA&lt;br /&gt;
&lt;br /&gt;
==Local Organizer==&lt;br /&gt;
Prof. Zhijian Song, Fudan University&lt;br /&gt;
&lt;br /&gt;
==Invited Faculty==&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis, M.D.], Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/spujol Sonia Pujol, Ph.D.] Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/pieper Steve Pieper, Ph.D.], Isomics Inc (tentative)&lt;br /&gt;
&lt;br /&gt;
== Tentative Agenda ==&lt;br /&gt;
&lt;br /&gt;
*8:45-9:00 am Computer setup assistance by the instructors&lt;br /&gt;
*9:00-9:15 am Welcome and Goals of the Workshop (Prof. ZhiJian/Prof. Zhang)&lt;br /&gt;
*9:15-9:45 am Introduction to NA-MIC and the Slicer community (Ron Kikinis)&lt;br /&gt;
*9:45-10:45 am 3D Data Loading and Visualization (partI) (Sonia Pujol)&lt;br /&gt;
*10:45-11:00 am Coffee break&lt;br /&gt;
*11:00-12:00 pm 3D Data Loading and Visualization (partII) (Sonia Pujol)&lt;br /&gt;
*12:00-1:15 pm Lunch&lt;br /&gt;
*1:15 pm -2:00 pm An Introduction to Diffusion Tensor Imaging (Sonia Pujol)&lt;br /&gt;
*2:15 pm -3:15 pm Neurosurgical Planning (Sonia Pujol)&lt;br /&gt;
*3:15 pm-3:30 pm Questions from the audience and concluding remarks&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Preparation for the Workshop ==&lt;br /&gt;
The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. &lt;br /&gt;
All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 2 GB of RAM and a dedicated graphic accelerator with 64mb of on board graphic memory are required. &lt;br /&gt;
&lt;br /&gt;
Please install the Slicer4.4 version appropriate to the laptop computer you'll be bringing to the tutorial:&lt;br /&gt;
&lt;br /&gt;
Please install the following datasets: [[media:Slicer3VisualizationDataset.zip | 3D Visualization Dataset]],[[media:DiffusionDataset.zip| Diffusion Dataset]] and [[Media:WhiteMatterExplorationData.zip|White Matter Exploration dataset]]. A technical training staff will be providing one-to-one assistance as needed.&lt;br /&gt;
&lt;br /&gt;
== Workshop installation ==&lt;br /&gt;
Classroom setting of tables to seat 15-20 attendees with laptop computers, two projectors, and an Internet connection for the instructors.&lt;br /&gt;
&lt;br /&gt;
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88425</id>
		<title>Shanghai 2015</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88425"/>
		<updated>2015-01-07T17:12:40Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Objective of the Workshop ==&lt;br /&gt;
The primary objective of this event is to introduce end-users and developers to the Slicer environment, with a particular focus on fiber tracking and development of Slicer extensions.&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*Date: Thursday, March 26, 2015 &lt;br /&gt;
*Location: Shanghai, China&lt;br /&gt;
*Registration: TBA&lt;br /&gt;
&lt;br /&gt;
==Local Organizer==&lt;br /&gt;
Prof.Zhijian Song, Fudan University&lt;br /&gt;
&lt;br /&gt;
==Invited Faculty==&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis, M.D.], Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/spujol Sonia Pujol, Ph.D.] Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/pieper Steve Pieper, Ph.D.], Isomics Inc (tentative)&lt;br /&gt;
&lt;br /&gt;
== Tentative Agenda ==&lt;br /&gt;
&lt;br /&gt;
*8:45-9:00 am Computer setup assistance by the instructors&lt;br /&gt;
*9:00-9:15 am Welcome and Goals of the Workshop (Prof. ZhiJian/Prof. Zhang)&lt;br /&gt;
*9:15-9:45 am Introduction to NA-MIC and the Slicer community (Ron Kikinis)&lt;br /&gt;
*9:45-10:45 am 3D Data Loading and Visualization (partI) (Sonia Pujol)&lt;br /&gt;
*10:45-11:00 am Coffee break&lt;br /&gt;
*11:00-12:00 pm 3D Data Loading and Visualization (partII) (Sonia Pujol)&lt;br /&gt;
*12:00-1:15 pm Lunch&lt;br /&gt;
*1:15 pm -2:00 pm An Introduction to Diffusion Tensor Imaging (Sonia Pujol)&lt;br /&gt;
*2:15 pm -3:15 pm Neurosurgical Planning (Sonia Pujol)&lt;br /&gt;
*3:15 pm-3:30 pm Questions from the audience and concluding remarks&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Preparation for the Workshop ==&lt;br /&gt;
The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. &lt;br /&gt;
All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 2 GB of RAM and a dedicated graphic accelerator with 64mb of on board graphic memory are required. &lt;br /&gt;
&lt;br /&gt;
Please install the Slicer4.4 version appropriate to the laptop computer you'll be bringing to the tutorial:&lt;br /&gt;
&lt;br /&gt;
Please install the following datasets: [[media:Slicer3VisualizationDataset.zip | 3D Visualization Dataset]],[[media:DiffusionDataset.zip| Diffusion Dataset]] and [[Media:WhiteMatterExplorationData.zip|White Matter Exploration dataset]]. A technical training staff will be providing one-to-one assistance as needed.&lt;br /&gt;
&lt;br /&gt;
== Workshop installation ==&lt;br /&gt;
Classroom setting of tables to seat 15-20 attendees with laptop computers, two projectors, and an Internet connection for the instructors.&lt;br /&gt;
&lt;br /&gt;
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88424</id>
		<title>Shanghai 2015</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88424"/>
		<updated>2015-01-07T17:11:14Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Objective of the Workshop ==&lt;br /&gt;
The primary objective of this event is to introduce end-users and developers to the Slicer environment, with a particular focus on fiber tracking and development of Slicer extensions.&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*Date: Tuesday, March 26, 2015 &lt;br /&gt;
*Location: Shanghai, China&lt;br /&gt;
*Registration: TBA&lt;br /&gt;
&lt;br /&gt;
==Local Organizer==&lt;br /&gt;
Prof.Zhijian Song, Fudan University&lt;br /&gt;
&lt;br /&gt;
==Invited Faculty==&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis, M.D.], Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/spujol Sonia Pujol, Ph.D.] Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/pieper Steve Pieper, Ph.D.], Isomics Inc (tentative)&lt;br /&gt;
&lt;br /&gt;
== Tentative Agenda ==&lt;br /&gt;
&lt;br /&gt;
*8:45-9:00 am Computer setup assistance by the instructors&lt;br /&gt;
*9:00-9:15 am Welcome and Goals of the Workshop (Prof. ZhiJian/Prof. Zhang)&lt;br /&gt;
*9:15-9:45 am Introduction to NA-MIC and the Slicer community (Ron Kikinis)&lt;br /&gt;
*9:45-10:45 am 3D Data Loading and Visualization (partI) (Sonia Pujol)&lt;br /&gt;
*10:45-11:00 am Coffee break&lt;br /&gt;
*11:00-12:00 pm 3D Data Loading and Visualization (partII) (Sonia Pujol)&lt;br /&gt;
*12:00-1:15 pm Lunch&lt;br /&gt;
*1:15 pm -2:00 pm An Introduction to Diffusion Tensor Imaging (Sonia Pujol)&lt;br /&gt;
*2:15 pm -3:15 pm Neurosurgical Planning (Sonia Pujol)&lt;br /&gt;
*3:15 pm-3:30 pm Questions from the audience and concluding remarks&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Preparation for the Workshop ==&lt;br /&gt;
The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. &lt;br /&gt;
All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 2 GB of RAM and a dedicated graphic accelerator with 64mb of on board graphic memory are required. &lt;br /&gt;
&lt;br /&gt;
Please install the Slicer4.4 version appropriate to the laptop computer you'll be bringing to the tutorial:&lt;br /&gt;
&lt;br /&gt;
Please install the following datasets: [[media:Slicer3VisualizationDataset.zip | 3D Visualization Dataset]],[[media:DiffusionDataset.zip| Diffusion Dataset]] and [[Media:WhiteMatterExplorationData.zip|White Matter Exploration dataset]]. A technical training staff will be providing one-to-one assistance as needed.&lt;br /&gt;
&lt;br /&gt;
== Workshop installation ==&lt;br /&gt;
Classroom setting of tables to seat 15-20 attendees with laptop computers, two projectors, and an Internet connection for the instructors.&lt;br /&gt;
&lt;br /&gt;
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88423</id>
		<title>Shanghai 2015</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Shanghai_2015&amp;diff=88423"/>
		<updated>2015-01-07T17:11:01Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: Created page with '== Objective of the Workshop == The primary objective of this event is to introduce end-users and developers to the Slicer environment, with a particular focus on fiber tracking …'&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Objective of the Workshop ==&lt;br /&gt;
The primary objective of this event is to introduce end-users and developers to the Slicer environment, with a particular focus on fiber tracking and development of Slicer extensions.&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*Date: Tuesday, March 26, 2015 &lt;br /&gt;
*Location: Shanghai, China&lt;br /&gt;
*Registration: TBA&lt;br /&gt;
&lt;br /&gt;
==Local Organizer==&lt;br /&gt;
Prof.Zhijian Song, Fudan University]&lt;br /&gt;
&lt;br /&gt;
==Invited Faculty==&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis, M.D.], Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/spujol Sonia Pujol, Ph.D.] Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School&lt;br /&gt;
*[http://www.spl.harvard.edu/pages/People/pieper Steve Pieper, Ph.D.], Isomics Inc (tentative)&lt;br /&gt;
&lt;br /&gt;
== Tentative Agenda ==&lt;br /&gt;
&lt;br /&gt;
*8:45-9:00 am Computer setup assistance by the instructors&lt;br /&gt;
*9:00-9:15 am Welcome and Goals of the Workshop (Prof. ZhiJian/Prof. Zhang)&lt;br /&gt;
*9:15-9:45 am Introduction to NA-MIC and the Slicer community (Ron Kikinis)&lt;br /&gt;
*9:45-10:45 am 3D Data Loading and Visualization (partI) (Sonia Pujol)&lt;br /&gt;
*10:45-11:00 am Coffee break&lt;br /&gt;
*11:00-12:00 pm 3D Data Loading and Visualization (partII) (Sonia Pujol)&lt;br /&gt;
*12:00-1:15 pm Lunch&lt;br /&gt;
*1:15 pm -2:00 pm An Introduction to Diffusion Tensor Imaging (Sonia Pujol)&lt;br /&gt;
*2:15 pm -3:15 pm Neurosurgical Planning (Sonia Pujol)&lt;br /&gt;
*3:15 pm-3:30 pm Questions from the audience and concluding remarks&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Preparation for the Workshop ==&lt;br /&gt;
The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. &lt;br /&gt;
All participants are required to come with their own laptop computer and install the software and datasets prior to the event. A minimum of 2 GB of RAM and a dedicated graphic accelerator with 64mb of on board graphic memory are required. &lt;br /&gt;
&lt;br /&gt;
Please install the Slicer4.4 version appropriate to the laptop computer you'll be bringing to the tutorial:&lt;br /&gt;
&lt;br /&gt;
Please install the following datasets: [[media:Slicer3VisualizationDataset.zip | 3D Visualization Dataset]],[[media:DiffusionDataset.zip| Diffusion Dataset]] and [[Media:WhiteMatterExplorationData.zip|White Matter Exploration dataset]]. A technical training staff will be providing one-to-one assistance as needed.&lt;br /&gt;
&lt;br /&gt;
== Workshop installation ==&lt;br /&gt;
Classroom setting of tables to seat 15-20 attendees with laptop computers, two projectors, and an Internet connection for the instructors.&lt;br /&gt;
&lt;br /&gt;
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86990</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86990"/>
		<updated>2014-06-27T13:54:02Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two vessel surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba Pinter and Adam Rankin,which is a useful tool for evaluation &lt;br /&gt;
* A data sets from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled in Window 7.0 with aid of Jean-Christophe Fillion-Robin and Andras Lasso.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86854</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86854"/>
		<updated>2014-06-27T04:20:39Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two vessel surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba Pinter and Adam Rankin &lt;br /&gt;
* A data sets from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled in Window 7.0 with aid of Jean-Christophe Fillion-Robin and Andras Lasso.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86853</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86853"/>
		<updated>2014-06-27T04:18:25Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two vessel surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba Pinter and Adam Rankin &lt;br /&gt;
* A vessel case and a case with key hole from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled in Window 7.0 with aid of Jean-Christophe Fillion-Robin and Andras Lasso.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86843</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86843"/>
		<updated>2014-06-27T04:04:53Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two vessel surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba Pinter and Adam Rankin &lt;br /&gt;
* A vessel case and a case with key hole from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled with aid of Jean-Christophe Fillion-Robin and Andras Lasso.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86842</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86842"/>
		<updated>2014-06-27T04:04:04Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba Pinter and Adam Rankin &lt;br /&gt;
* A vessel case and a case with key hole from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled with aid of ean-Christophe Fillion-Robin and Andras Lasso.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86841</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86841"/>
		<updated>2014-06-27T04:03:34Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba Pinter and Adam &lt;br /&gt;
* A vessel case and a case with key hole from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled with aid of ean-Christophe Fillion-Robin and Andras Lasso.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86840</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86840"/>
		<updated>2014-06-27T04:02:40Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba and Adam&lt;br /&gt;
* A vessel case and a case with key hole from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled with aid of ean-Christophe Fillion-Robin and Andras.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86839</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86839"/>
		<updated>2014-06-27T04:01:04Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba and Adam&lt;br /&gt;
* A vessel case and a case with key hole from Queen's University were used to test the initial method&lt;br /&gt;
* Build Slicer with SimpleITK enabled with aid of Jc and Andras.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86833</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86833"/>
		<updated>2014-06-27T03:55:27Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
* -Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* -initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Learn to use Contour Module from Csaba and Adam&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Hausdorf_distance.png&amp;diff=86762</id>
		<title>File:Hausdorf distance.png</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Hausdorf_distance.png&amp;diff=86762"/>
		<updated>2014-06-26T21:38:34Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86761</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86761"/>
		<updated>2014-06-26T21:37:35Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
Image:Hausdorf_distance.png|Hausdorf distance between two surface contours&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86760</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86760"/>
		<updated>2014-06-26T21:35:35Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Left:Vessel surface reconstructed with our method. Right:Vessel surface reconstructed with Model Maker&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Vessels-Poisson_and_Vessels-ModelMaker.png&amp;diff=86759</id>
		<title>File:Vessels-Poisson and Vessels-ModelMaker.png</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Vessels-Poisson_and_Vessels-ModelMaker.png&amp;diff=86759"/>
		<updated>2014-06-26T21:30:49Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86741</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86741"/>
		<updated>2014-06-26T21:00:10Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson_and_Vessels-ModelMaker.png|Vessels&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86740</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86740"/>
		<updated>2014-06-26T20:59:41Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels-Poisson and Vessels-ModelMaker.png|Vessels&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86739</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=86739"/>
		<updated>2014-06-26T20:53:11Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:Case1-intraop-ModelMaker.png|Model Maker smoothed surface for prostate peripheral zone manual segmentation&lt;br /&gt;
Image:Case1-intraop-Poisson.png|Poisson reconstructed surface with normals estimated from Model Maker surface&lt;br /&gt;
Image:Vessels|Vessels&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Large spacing and inconsistencies in contours between adjacent slices can often result in unrealistic reconstructed surfaces when using interpolation, or marching cubes. We investigate one approach to remedy this issue by approximating the object surface from the contour points.&lt;br /&gt;
This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School [1].&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt; &lt;br /&gt;
* Develop a Slicer module for approximating object surface from point cloud.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial approach is based on the following steps&lt;br /&gt;
** Extract contours from a mask image&lt;br /&gt;
** Get points on the contours&lt;br /&gt;
** Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
** Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
** Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
** Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
* Discuss alternative approaches for estimating normals&lt;br /&gt;
* Evaluate applicability on other datasets&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Initial implementation as a Slicer CLI module [https://github.com/chenchen78/SurfaceReconstruction is available]&lt;br /&gt;
* initial evaluation is done for the prostate manual segmentation contours from this [http://www.spl.harvard.edu/publications/item/view/2147 publicly available dataset]&lt;br /&gt;
&amp;lt;/div&amp;gt; &lt;br /&gt;
&amp;lt;h3&amp;gt;References&amp;lt;/h3&amp;gt;&lt;br /&gt;
[1] Doria, D., and A. Gelas. &amp;quot;Poisson surface reconstruction for VTK.&amp;quot; The VTK Journal (2010). [http://www.vtkjournal.org/browse/publication/718 URL]&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=86189</id>
		<title>2014 Summer Project Week:MR-Ultrasound Registration for Prostate Interventions</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=86189"/>
		<updated>2014-06-23T14:01:22Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:US-Case10.png&lt;br /&gt;
Image:MR-Case10.png&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Andriy Fedorov, SPL&lt;br /&gt;
* Andras&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Prostate cancer is a kind of common cause of cancer in men in many countries. Transrectal ultrasound (TRUS) is the most commonly used modality for guiding needle biopsies and minimally-invasive surgical interventions for the treatment of prostate cancer. However,it is difficult to accurately distinguish tumors in B-mode TRUS images. Magnetic resonance (MR) is a very promising technique for prostate biopsies and prostate interventions. Disadvantages of MR-guided prostate biopsies and prostate interventions are that MRI is an expensive method and not widely available. MR-Ultrasound registration can improve TRUS imaging and take advantages of both modalities. The object of this project it to develop a method of MR-Ultrasound image registration for prostate intervention.&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*  Investigate a method of MR-Ultrasound images registration for prostate intervention.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Continue development and evaluation of a method based on non-rigid registration of distance maps of the gland segmentation\&lt;br /&gt;
** Extract prostate from MR image and Ultrasound image&lt;br /&gt;
** Calculate distance maps for segmented MR image and Ultrasound image&lt;br /&gt;
** Do registration for distance maps of MR image and Ultrasound image using Slicer module of &amp;quot;BRAINSFit&amp;quot;&lt;br /&gt;
* Investigate alternative approaches available within the group&lt;br /&gt;
* We made [http://slicer.kitware.com/midas3/folder/2215 a test dataset] publicly available. If you have a method that works on this dataset, let us know. We have expert annotations that we can use to calculate registration error and evaluate your approach.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=85777</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=85777"/>
		<updated>2014-06-12T19:53:45Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Csaba Pinter, QueensU&lt;br /&gt;
* Andrey Fedorov, SPL&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
This Project is to develop a Slicer module which can produce a surface from a mask image. The input is a mask and the output is a surface. This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School.&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*Develop a Slicer module which can approximate surface from a mask image.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Extract contours from a mask image&lt;br /&gt;
* Get points on the contours&lt;br /&gt;
* Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
* Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
* Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
* Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85776</id>
		<title>2014 Summer Project Week:MR-Ultrasound Registration for Prostate Interventions</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85776"/>
		<updated>2014-06-12T19:51:18Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* Chenxi Zhang, SPL/FudanU&lt;br /&gt;
* Andriy Fedorov, SPL&lt;br /&gt;
* Andras&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Prostate cancer is a kind of common cause of cancer in men in many countries. Transrectal ultra- sound (TRUS) is the most commonly used modality for guiding needle biopsies and minimally-invasive surgical interventions for the treatment of prostate cancer. However,it is difficult to accurately distinguish tumors in B-mode TRUS images. Magnetic resonance (MR) is a very promising technique for prostate biopsies and prostate interventions. Disadvantages of MR-guided prostate biopsies and prostate interventions are that MRI is an expensive method and not widely available. MR-Ultrasound registration can improve TRUS imaging and take advantages of both modalities. The object of this project it to develop a method of MR-Ultrasound image registration for prostate intervention.&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*  Develop a method of MR-Ultrasound images registration for prostate intervention.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Extract prostate from MR image and Ultrasound image&lt;br /&gt;
* Calculate distance maps for segmented MR image and Ultrasound image&lt;br /&gt;
* Do registration for distance maps of MR image and Ultrasound image using Slicer module of &amp;quot;BRAINSFit&amp;quot; &lt;br /&gt;
* Calculate registration errors &lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85775</id>
		<title>2014 Summer Project Week:MR-Ultrasound Registration for Prostate Interventions</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85775"/>
		<updated>2014-06-12T19:32:50Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
Chenxi Zhang, SPL/FudanU&lt;br /&gt;
Andriy Fedorov, SPL&lt;br /&gt;
Andras&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Prostate cancer is a kind of common cause of cancer in men in many countries.Transrectal ultra- sound (TRUS) is the most commonly used modality for guiding needle biopsies and minimally-invasive surgical interventions for the treatment of prostate cancer. However,it is difficult to accruately distinguish tumors in B-mode TRUS images. Magnetic resonance (MR) is a very promising technique for prostate biopsies and prostate intervention. Disadvantages of MR-guided prostate biopsies and prostate intervention are that&lt;br /&gt;
RI is an expensive method and not widely available.MR to ultrasound registration can improve TRUS imaging and take advantages of both modalities. The object of this project it to develop a method for registrating MR-Ultrasound prostate images.&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85774</id>
		<title>2014 Summer Project Week:MR-Ultrasound Registration for Prostate Interventions</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85774"/>
		<updated>2014-06-12T19:30:37Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
Prostate cancer is a kind of common cause of cancer in men in many countries.Transrectal ultra- sound (TRUS) is the most commonly used modality for guiding needle biopsies and minimally-invasive surgical interventions for the treatment of prostate cancer. However,it is difficult to accruately distinguish tumors in B-mode TRUS images. Magnetic resonance (MR) is a very promising technique for prostate biopsies and prostate intervention. Disadvantages of MR-guided prostate biopsies and prostate intervention are that&lt;br /&gt;
RI is an expensive method and not widely available.MR to ultrasound registration can improve TRUS imaging and take advantages of both modalities. The object of this project it to develop a method for registrating MR-Ultrasound prostate images.&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=85747</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=85747"/>
		<updated>2014-06-11T21:30:51Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
This Project is to develop a Slicer module which can produce a surface from a mask image. The input is a mask and the output is a surface. This work is based on an implementation of the Poisson surface reconstruction algorithm in the VTK framework, David-Doria Arnaud-Gelas, Rensselaer Polytechnic Institute &amp;amp; Harvard Medical School.&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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*Develop a Slicer module which can approximate surface from a mask image.&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
* Extract contours from a mask image&lt;br /&gt;
* Get points on the contours&lt;br /&gt;
* Construct a initial surface using Slicer Module of &amp;quot;Model Maker&amp;quot;&lt;br /&gt;
* Look for a closest point to each contour point from &amp;quot;Model Maker&amp;quot; result&lt;br /&gt;
* Assign the normal of the closest point to the corresponding contour point&lt;br /&gt;
* Reconstruct a surface from contour points using Poisson surface reconstruction algorithm &lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=85746</id>
		<title>2014 Summer Project Week:Surface approximation from contour points</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:Surface_approximation_from_contour_points&amp;diff=85746"/>
		<updated>2014-06-11T21:11:55Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: Created page with '__NOTOC__ &amp;lt;gallery&amp;gt; Image:PW-MIT2014.png|Projects List &amp;lt;/gallery&amp;gt;  ==Key Investigators==  ==Project Description== &amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;…'&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85745</id>
		<title>2014 Summer Project Week:MR-Ultrasound Registration for Prostate Interventions</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions&amp;diff=85745"/>
		<updated>2014-06-11T21:08:49Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: Created page with '__NOTOC__ &amp;lt;gallery&amp;gt; Image:PW-MIT2014.png|Projects List &amp;lt;/gallery&amp;gt;  ==Key Investigators==  ==Project Description== &amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;…'&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
&lt;br /&gt;
==Project Description==&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;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;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;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;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
*&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week&amp;diff=85744</id>
		<title>2014 Summer Project Week</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2014_Summer_Project_Week&amp;diff=85744"/>
		<updated>2014-06-11T20:23:35Z</updated>

		<summary type="html">&lt;p&gt;Chenchen78: /* Image-Guided Therapy */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&lt;br /&gt;
[[image:PW-MIT2014.png|300px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Dates: June 23-27, 2014.&lt;br /&gt;
&lt;br /&gt;
Location: MIT, Cambridge, MA.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Agenda==&lt;br /&gt;
&lt;br /&gt;
{|border=&amp;quot;1&amp;quot;&lt;br /&gt;
|-style=&amp;quot;background:#b0d5e6;color:#02186f&amp;quot; &lt;br /&gt;
!style=&amp;quot;width:10%&amp;quot; |Time&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Monday, June 23&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Tuesday, June 24&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Wednesday, June 25&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Thursday, June 26&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Friday, June 27&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#dbdbdb&amp;quot;|'''Project Presentations'''&lt;br /&gt;
|bgcolor=&amp;quot;#6494ec&amp;quot;|'''NA-MIC Update Day'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#88aaae&amp;quot;|'''IGT Day'''&lt;br /&gt;
|bgcolor=&amp;quot;#faedb6&amp;quot;|'''Reporting Day'''&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''8:30am'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''9am-12pm'''&lt;br /&gt;
|&lt;br /&gt;
|'''10-11:30pm''' &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;[[2014 Project Week Breakout Session: DICOM|DICOM]] (Steve Pieper)&lt;br /&gt;
[[MIT_Project_Week_Rooms|Grier Room (Left)]] &lt;br /&gt;
|&lt;br /&gt;
|&lt;br /&gt;
'''9:00-10:30am''' [[2014_Tutorial_Contest|Tutorial Contest Presentations (Sonia Pujol)]] &amp;lt;br&amp;gt;&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''10am-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;[[2014 Project Week Breakout Session: IGT Neuro|Image-Guided Therapy - Neurosurgery]] (Alexandra Golby, Tina Kapur) &amp;lt;br&amp;gt;&lt;br /&gt;
[[MIT_Project_Week_Rooms#Star|Star]]&lt;br /&gt;
|'''10am-12pm:''' [[#Projects|Project Progress Updates]] &amp;lt;br&amp;gt;&lt;br /&gt;
'''12pm''' [[Events:TutorialContestJune2014|Tutorial Contest Winner Announcement]]&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''12pm-1pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch &lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch boxes; Adjourn by 1:30pm&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''1pm-5:30pm'''&lt;br /&gt;
|'''1-1:05pm: &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Ron Kikinis: Welcome&amp;lt;/font&amp;gt;'''&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:05-3:30pm:''' [[#Projects|Project Introductions]] (all Project Leads)&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3:30-4:30pm''' [[2014 Summer Project Week Breakout Session:SlicerExtensions|Slicer4 Extensions]] (Jean-Christophe Fillion-Robin)  &amp;lt;br&amp;gt;&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Room (Left)]]&lt;br /&gt;
|'''1-3pm:''' &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;[[2014 Project Week Breakout Session: QIICR|QIICR]] (Andrey Fedorov)&lt;br /&gt;
[[MIT_Project_Week_Rooms#Kiva|Kiva]] &lt;br /&gt;
|'''1-2:30pm:''' &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;[[2014 Project Week Breakout Session: Contours|Contours]] (Adam Rankin, Csaba Pinter)&lt;br /&gt;
TBD [[MIT_Project_Week_Rooms#Kiva|Kiva]] &lt;br /&gt;
|'''1-3pm:''' &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;[[2014 Project Week Breakout Session: IGT Prostate|Image-Guided Therapy - Prostate Interventions]] (Clare Tempany, Noby Hata)&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''5:30pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== '''Background''' ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Project Week is a hands on activity -- programming using the open source [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, and clinical application -- that has become one of the major events in the NA-MIC, NCIGT, and NAC calendars. 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;
&lt;br /&gt;
Active preparation begins 6-8 weeks prior to the meeting, when a kick-off teleconference is hosted by the NA-MIC Engineering, Dissemination, and Leadership teams, the primary hosts of this event.  Invitations to this call are sent to all NA-MIC members, past attendees of the event, as well as any parties who have expressed an interest in working with NA-MIC. The main goal of the kick-off call is to get an idea of which groups/projects will be active at the upcoming event, and to ensure that there is sufficient NA-MIC coverage for all. Subsequent teleconferences allow the hosts to finalize the project teams, consolidate any common components, and identify topics that should be discussed in breakout sessions. In the final days leading upto the meeting, all project teams are asked to fill in a template page on this wiki that describes the objectives and plan of their projects.&lt;br /&gt;
&lt;br /&gt;
The event itself starts off with a short presentation by each project team, driven using their previously created description, and allows all participants to be acquainted with others who are doing similar work. In the rest of the week, about half the time is spent in breakout discussions on topics of common interest of subsets of the attendees, and the other half is spent in project teams, doing hands-on programming, algorithm design, or clinical application of NA-MIC kit tools.  The hands-on activities are done in 10-20 small teams of size 3-5, each with a mix of experts in NA-MIC kit software, algorithms, and clinical.  To facilitate this work, a large room is setup with several tables, with internet and power access, and each team gathers on a table with their individual laptops, connects to the internet to download their software and data, and is able to work on their projects.  On the last day of the event, a closing presentation session is held in which each project team presents a summary of what they accomplished during the week.&lt;br /&gt;
&lt;br /&gt;
A summary of all past NA-MIC Project Events is available [[Project_Events#Past|here]].&lt;br /&gt;
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Please make sure that you are on the [http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week na-mic-project-week mailing list]&lt;br /&gt;
&lt;br /&gt;
=Projects=&lt;br /&gt;
* [[2014_Project_Week_Template | Template for project pages]]&lt;br /&gt;
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==TBI==&lt;br /&gt;
&lt;br /&gt;
==Atrial Fibrillation==&lt;br /&gt;
&lt;br /&gt;
==Huntington's Disease==&lt;br /&gt;
&lt;br /&gt;
==Head and Neck Cancer==&lt;br /&gt;
*[[2014_Summer_Project_Week:Interactive_DIR| Interactive DIR]] (Greg, Ivan)&lt;br /&gt;
*[[2014_Summer_Project_Week:DIR_validation_tools| DIR validation tools]] (Greg, Ivan)&lt;br /&gt;
*[[2014_Summer_Project_Week:Upload_HN_data| Upload H&amp;amp;N data]] (Greg, Paolo)&lt;br /&gt;
&lt;br /&gt;
==Slicer4 Extensions==&lt;br /&gt;
&lt;br /&gt;
*[[2014_Summer_Project_Week:Multidim Data| Multidim Data]] (Kevin Wang, Andras, ?)&lt;br /&gt;
*[[2014_Summer_Project_Week:DICOM-SRO import| DICOM-SRO import]] (Kevin Wang)&lt;br /&gt;
*[[2014_Summer_Project_Week:PLM_engineering| Plastimatch extension re-engineering]] (Greg Sharp)&lt;br /&gt;
&lt;br /&gt;
==Cardiac==&lt;br /&gt;
&lt;br /&gt;
==Stroke==&lt;br /&gt;
&lt;br /&gt;
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==Brain Segmentation==&lt;br /&gt;
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==Image-Guided Therapy==&lt;br /&gt;
&lt;br /&gt;
* SlicerIGT extension: testing, tutorials, website (Tamas Ungi, Junichi Tokuda)&lt;br /&gt;
* Gestural Point of Care Interface for IGT (Saskia, Franklin, Tobias)&lt;br /&gt;
*[[2014_Summer_Project_Week:MR-Ultrasound_Registration_for_Prostate_Interventions | MR-Ultrasound Registration for Prostate Interventions]] (Chenxi Zhang, Andriy Fedorov, Andras)&lt;br /&gt;
*[[2014_Summer_Project_Week:Surface_approximation_from_contour_points | Surface approximation from contour points]] (Chenxi Zhang, Csaba Pinter, Andrey Fedorov)&lt;br /&gt;
* Steered image registration using intelligent interfaces for minimal user interaction (Marcel Prastawa, Jim Miller, Steve Pieper)&lt;br /&gt;
* Image To Mesh Conversion for Brain MRI (Fotis Drakopoulos, Yixun Liu, Andrey Fedorov, Ron Kikinis, Nikos Chrisochoides)&lt;br /&gt;
* An ITK implementation of Physics-Based Non-Rigid Registration method for Brain Shift (Fotis Drakopoulos, Yixun Liu, Andriy Kot, Andrey Fedorov, Olivier Clatz, Ron Kikinis, Nikos Chrisochoides)&lt;br /&gt;
&lt;br /&gt;
==Radiation Therapy==&lt;br /&gt;
*[[2014_Summer_Project_Week:External Beam Planning| External Beam Planning]] (Kevin Wang, Greg, ?)&lt;br /&gt;
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==Chronic Obstructive Pulmonary Disease ==&lt;br /&gt;
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==[http://qiicr.org QIICR]==&lt;br /&gt;
* Real world value mapping support (Andrey, Andras, Steve, Jim, ...)&lt;br /&gt;
* Segmentation object support (Andrey, Csaba, Steve, ...)&lt;br /&gt;
* [[2014_Summer_Project_Week: CLI Derived DICOM Data| Proper formatting of DICOM Derived Data from CLI]] (Steve, Andrey, Jim, {Michael and David remotely})&lt;br /&gt;
&lt;br /&gt;
==Infrastructure==&lt;br /&gt;
*Slicer 4.4 Release (JC, Steve, Nicole)&lt;br /&gt;
* [[2014_Summer_Project_Week: Chronicle| Chronicle]] (Steve)&lt;br /&gt;
* [[2014_Summer_Project_Week: Volume Registration|Volume Registration]] (Steve, Greg, Marcel, Jim)&lt;br /&gt;
* [[2014_Summer_Project_Week:Markups | Markups]] (Nicole Aucoin)&lt;br /&gt;
*Pluggable Label Statistics (Andrey , Ethan, Steve, Brad?, Jim? Dirk?)&lt;br /&gt;
*[[2014_Summer_Project_Week:Subject_hierarchy_integration | Subject hierarchy integration]] (Csaba, Steve, Jc, Andras?, ?)&lt;br /&gt;
*[[2014_Summer_Project_Week:Contours | Contours]] (Adam Rankin, Csaba, Andras, Steve, Jc, ?)&lt;br /&gt;
*[[2014_Summer_Project_Week:Parameter Node Serialization | Parameter Node Serialization]] (Kevin Wang, Andras, Steve, Jim, Csaba, ?)&lt;br /&gt;
*[[2014_Summer_Project_Week:Self-tests for non-linear transforms | Self-tests for non-linear transforms]] (Xining Du)&lt;br /&gt;
&lt;br /&gt;
==Feature Extraction==&lt;br /&gt;
*Breast Tumor Segmentation and Heterogeneity Analysis (Vivek Narayan, Jay Jagadeesan)&lt;br /&gt;
*Quantitative image feature extraction in Non-Small Cell Lung Cancer  (Hugo Aerts)&lt;br /&gt;
&lt;br /&gt;
==Other==&lt;br /&gt;
*[[2014_Summer_Project_Week:Slicer_Murin_Shape_Analysis | Shape Analysis for the developing murine skull]] (Murat Maga, Ryan Young, Seattle Chidren's Hospital).&lt;br /&gt;
*[[2014_Summer_Project_Week:Slicer_LDDMM_Shape_Analysis | Slicer Interface to LDDMM shape anlaysis]] (Saurabh Jain, JHU; Steve Pieper, Isomics; Josh Cates, SCI, Utah; Hans Johnson, Iowa; Martin Styner, UNC)&lt;br /&gt;
*[[2014_Summer_Project_Week:Image_Registration_with_Sliding_Motion_Constraints | Image Registration with Sliding Motion Constraints]] (Alexander Derksen, Kanglin Chen, Gregory Sharp, Danielle Pace?)&lt;br /&gt;
*[[2014_Summer_Project_Week:Atlas Selection | Atlas Selection]] (Kanglin Chen, Gregory Sharp)&lt;br /&gt;
*[[2014_Summer_Project_Week:Multiscale_Non_Local_Means_filter_(NLM)_for_chest_CT_images | Multiscale Non Local Means filter (NLM) for chest CT images]] (Pietro Nardelli, University College Cork (UCC), Ireland)&lt;br /&gt;
&lt;br /&gt;
== '''Logistics''' ==&lt;br /&gt;
&lt;br /&gt;
*'''Dates:''' June 23-27, 2014.&lt;br /&gt;
*'''Location:''' [[MIT_Project_Week_Rooms| Stata Center / RLE MIT]]. &lt;br /&gt;
*'''REGISTRATION:''' https://www.regonline.com/namic2014summerprojectweek. Please note that  as you proceed to the checkout portion of the registration process, RegOnline will offer you a chance to opt into a free trial of ACTIVEAdvantage -- click on &amp;quot;No thanks&amp;quot; in order to finish your Project Week registration.&lt;br /&gt;
*'''Registration Fee:''' $300.&lt;br /&gt;
*'''Hotel:''' Similar to previous years, no rooms have been blocked in a particular hotel.&lt;br /&gt;
*'''Room sharing''': If interested, add your name to the list:  [[2014_Summer_Project_Week/RoomSharing|here]]&lt;br /&gt;
&lt;br /&gt;
== '''Registrants''' ==&lt;br /&gt;
&lt;br /&gt;
Do not add your name to this list - it is maintained by the organizers based on your paid registration.  ([https://www.regonline.com/namic2014summerprojectweek  Please click here to register.])&lt;br /&gt;
&lt;br /&gt;
#Hugo Aerts, Dana Farber/Harvard, hugo_aerts@dfci.harvard.edu&lt;br /&gt;
#Peter Anderson, retired, traneus@verizon.net&lt;br /&gt;
#Nicole Aucoin, Brigham &amp;amp; Women's Hospital, nicole@bwh.harvard.edu&lt;br /&gt;
#Kanglin Chen, Fraunhofer MEVIS, kanglin.chen@mevis.fraunhofer.de&lt;br /&gt;
#Adrian Dalca, MIT CSAIL, adalca@mit.edu&lt;br /&gt;
#Alexander Derksen, Fraunhofer MEVIS, alexander.derksen@mevis.fraunhofer.de&lt;br /&gt;
#Fotis Drakopoulos, Old Dominion University, fdrakopo@gmail.com&lt;br /&gt;
#Jean-Christophe Fillion-Robin, Kitware, jchris.fillionr@kitware.com&lt;br /&gt;
#Saurabh Jain, Johns Hopkins University, saurabh@cis.jhu.edu&lt;br /&gt;
#Hans Johnson, University of Iowa, hans-johnson@uiowa.edu&lt;br /&gt;
#Ron Kikinis, HMS, kikinis@bwh.harvard.edu&lt;br /&gt;
#Yangming Li, University of Washington, ymli81@uw.edu&lt;br /&gt;
#Siqi Liu, University of Sydney, sliu4512@uni.sydney.edu.au&lt;br /&gt;
#Bradley Lowekamp, National Institutes of Health, blowekamp@mail.nih.gov&lt;br /&gt;
#Murat Maga, Seattle Children's Research Institute, maga@uw.edu&lt;br /&gt;
#Katie Mastrogiacomo, SPL/BWH, kmast@bwh.harvard.edu&lt;br /&gt;
#Alireza Mehrtash, SPL/BWH, mehrtash@bwh.harvard.edu&lt;br /&gt;
#Jim Miller, GE Research, millerjv@ge.com&lt;br /&gt;
#Pietro Nardelli, University College Cork, pietro@bwh.harvard.edu&lt;br /&gt;
#Yangming Ou, MGH, yangming.ou@uphs.upenn.edu&lt;br /&gt;
#Nirav Patel, WPI, napatel@wpi.edu&lt;br /&gt;
#Steve Pieper, Isomics Inc, pieper@isomics.com&lt;br /&gt;
#Csaba Pinter, Queen's University, csaba.pinter@queensu.ca&lt;br /&gt;
#Marcel Prastawa, GE Research, marcel.prastawa@ge.com&lt;br /&gt;
#Somia Pujol, Harvard Medical School, spujol@bwh.harvard.edu&lt;br /&gt;
#Adam Rankin, Queen's University, rankin@queensu.ca&lt;br /&gt;
#Ramesh Sridharan, MIT CSAIL, rameshvs@csail.mit.edu&lt;br /&gt;
#Ethan Ulrich, University of Iowa, ethan-ulrich@uiowa.edu&lt;br /&gt;
#David Welch, University of Iowa, david-welch@uiowa.edu&lt;br /&gt;
#Ryan Young, Seattle Children's Research Institute, ryan.young@seattlechildrens.org&lt;br /&gt;
#Paolo Zaffino, University Magna Graecia of Catanzaro, p.zaffino@unicz.it&lt;br /&gt;
#Chenxi Zhang, Brigham &amp;amp; Women's Hospital, chenxizhang@fudan.edu.cn&lt;br /&gt;
#Fan Zhang, University of Sydney, fzha8048@uni.sydney.edu.au&lt;/div&gt;</summary>
		<author><name>Chenchen78</name></author>
		
	</entry>
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