NAMIC Wiki - User contributions [en]

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-07-05T13:57:24Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/isg/gulamhussene.html Gino Gulamhussene] (University of Magdeburg, Germany)
*[http://perk.cs.queensu.ca/users/lasso Andras Lasso] (Queen's University, Canada)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|
* The objective of this project is to drive the discussion under which circumstances medical image registration can be used to support MRI guided liver interventions.
* Furthermore a simple implementation of a state of the art method to register iMRI to MRI shall show the principle possibility of such an approach.

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
* give an overview of factors that determin the applicability of (StV) registration to support liver interventions in MRI
* implement state of the art algorithm to register orthogonal iMRI slices to MRI volume

|
'''Progress'''
* discussed the motivation for non-regit registration of planing MRI/CT to iMRI/iCT
** reducing the need of contrast agend administration in both iMRI and iCT
** providing any additional information that is either containt in planning data or added / annotated in its reference frame
** providing additional information from other modalities like PET (Pre-fusing several planing volumes)
** reducing mental effort for interventionalist
* I got showed a manual workflow in Slicer to solve the basic task with state of the art methods
* I got insights into the development with and for Slicer
* I started to implement a python Slicer Extension to automate the previously found workflow using several aspects of slicer (CLI, Python Scripting, simpleITK, sitkUtils)
'''Next Steps'''
* finishing the Slicer extension
* implementing a way to generate ground truth (simulated respiration deformation in iMRI)
* implementing the evaluation tools (visual inspection and computed metrics)
|}

==Illustrations==


<gallery>
File:SlicerSmall.png | non-regid transformation result
</gallery>

==Background and References==

* [[2011_Winter_Project_Week:Intra-ProceduralProstateMotion]]

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-30T11:00:33Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (University of Magdeburg, Germany)
*[http://perk.cs.queensu.ca/users/lasso Andras Lasso] (Queen's University, Canada)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|
* The objective of this project is to drive the discussion under which circumstances medical image registration can be used to support MRI guided liver interventions.
* Furthermore a simple implementation of a state of the art method to register iMRI to MRI shall show the principle possibility of such an approach.

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
* give an overview of factors that determin the applicability of (StV) registration to support liver interventions in MRI
* implement state of the art algorithm to register orthogonal iMRI slices to MRI volume

|
'''Progress'''
* discussed the motivation for non-regit registration of planing MRI/CT to iMRI/iCT
** reducing the need of contrast agend administration in both iMRI and iCT
** providing any additional information that is either containt in planning data or added / annotated in its reference frame
** providing additional information from other modalities like PET (Pre-fusing several planing volumes)
** reducing mental effort for interventionalist
* I got showed a manual workflow in Slicer to solve the basic task with state of the art methods
* I got insights into the development with and for Slicer
* I started to implement a python Slicer Extension to automate the previously found workflow using several aspects of slicer (CLI, Python Scripting, simpleITK, sitkUtils)
'''Next Steps'''
* finishing the Slicer extension
* implementing a way to generate ground truth (simulated respiration deformation in iMRI)
* implementing the evaluation tools (visual inspection and computed metrics)
|}

==Illustrations==


<gallery>
File:SlicerSmall.png | non-regid transformation result
</gallery>

==Background and References==

* [[2011_Winter_Project_Week:Intra-ProceduralProstateMotion]]

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-30T11:00:12Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (University of Magdeburg, Germany)
*[http://perk.cs.queensu.ca/users/lasso Andras Lasso] (Queen's University, Canada)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|
* The objective of this project is to drive the discussion under which circumstances medical image registration can be used to support MRI guided liver interventions.
* Furthermore a simple implementation of a state of the art method to register iMRI to MRI shall show the principle possibility of such an approach.

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
* give an overview of factors that determin the applicability of (StV) registration to support liver interventions in MRI
* implement state of the art algorithm to register orthogonal iMRI slices to MRI volume

|
'''Progress'''
* discussed the motivation for non-regit registration of planing MRI/CT to iMRI/iCT
** reducing the need of contrast agend administration in both iMRI and iCT
** providing any additional information that is either containt in planning data or added / annotated in its reference frame
** providing additional information from other modalities like PET (Pre-fusing several planing volumes)
** reducing mental effort for interventionalist
* I got showed a manual workflow in Slicer to solve the basic task with state of the art methods
* I got insights into the development with and for Slicer
* I started to implement a python Slicer Extension to automate the previously found workflow using several aspects of slicer (CLI, Python Scripting, simpleITK, sitkUtils)
''Next Steps''
* finishing the Slicer extension
* implementing a way to generate ground truth (simulated respiration deformation in iMRI)
* implementing the evaluation tools (visual inspection and computed metrics)
|}

==Illustrations==


<gallery>
File:SlicerSmall.png | non-regid transformation result
</gallery>

==Background and References==

* [[2011_Winter_Project_Week:Intra-ProceduralProstateMotion]]

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-30T10:35:09Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (University of Magdeburg, Germany)
*[http://perk.cs.queensu.ca/users/lasso Andras Lasso] (Queen's University, Canada)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|
* The objective of this project is to drive the discussion under which circumstances medical image registration can be used to support MRI guided liver interventions.
* Furthermore a simple implementation of a state of the art method to register iMRI to MRI shall show the principle possibility of such an approach.

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
* give an overview of factors that determin the applicability of (StV) registration to support liver interventions in MRI
* implement state of the art algorithm to register orthogonal iMRI slices to MRI volume

|
* discussed the motivation for non-regit registration of planing MRI/CT to iMRI/iCT
** reducing the need of contrast agend administration in both iMRI and iCT
** providing any additional information that is either containt in planning data or added / annotated in its reference frame
** providing additional information from other modalities like PET (Pre-fusing several planing volumes)
** reducing mental effort for interventionalist
* I got showed a manual workflow in Slicer to solve the basic task with state of the art methods
* I got insights into the development with and for Slicer
* I started to implement a python Slicer Extension to automate the previously found workflow using several aspects of slicer (CLI, Python Scripting, simpleITK, sitkUtils)
|}

==Illustrations==


<gallery>
File:SlicerSmall.png | non-regid transformation result
</gallery>

==Background and References==

* [[2011_Winter_Project_Week:Intra-ProceduralProstateMotion]]

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-30T10:34:47Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (University of Magdeburg, Germany)
*[http://perk.cs.queensu.ca/users/lasso Andras Lasso] (Queen's University, Canada)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|
* The objective of this project is to drive the discussion under which circumstances medical image registration can be used to support MRI guided liver interventions.
* Furthermore a simple implementation of a state of the art method to register iMRI to MRI shall show the principle possibility of such an approach.

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
* give an overview of factors that determin the applicability of (StV) registration to support liver interventions in MRI
* implement state of the art algorithm to register orthogonal iMRI slices to MRI volume

|
* discussed the motivation for non-regit registration of planing MRI/CT to iMRI/iCT
** reducing the need of contrast agend administration in both iMRI and iCT
** providing any additional information that is either containt in planning data or added / annotated in its reference frame
** providing additional information from other modalities like PET (Pre-fusing several planing volumes)
** reducing mental effort for interventionalist
* I got showed a manual workflow in Slicer to solve the basic task with state of the art methods
* I got insights into the development with and for Slicer
* I started to implement a python Slicer Extension to automate the previously found workflow using several aspects of slicer (CLI, Python Scripting, simpleITK, sitkUtils)
|}

==Illustrations==


<gallery>
File:SlicerSmall.png | non-regid transformation result
</gallery>
[[File:SlicerSmall.png ]]

==Background and References==

* [[2011_Winter_Project_Week:Intra-ProceduralProstateMotion]]

File:SlicerSmall.png

2017-06-30T10:32:46Z

GGulamhussene: Showing the vector field describing the Registration transformation

Showing the vector field describing the Registration transformation

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-30T10:08:01Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (University of Magdeburg, Germany)
*[http://perk.cs.queensu.ca/users/lasso Andras Lasso] (Queen's University, Canada)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|
* The objective of this project is to drive the discussion under which circumstances medical image registration can be used to support MRI guided liver interventions.
* Furthermore a simple implementation of a state of the art method to register iMRI to MRI shall show the principle possibility of such an approach.

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
* give an overview of factors that determin the applicability of (StV) registration to support liver interventions in MRI
* implement state of the art algorithm to register orthogonal iMRI slices to MRI volume

|
* discussed the motivation for non-regit registration of planing MRI/CT to iMRI/iCT
** reducing the need of contrast agend administration in both iMRI and iCT
** providing any additional information that is either containt in planning data or added / annotated in its reference frame
** providing additional information from other modalities like PET (Pre-fusing several planing volumes)
** reducing mental effort for interventionalist
* I got showed a manual workflow in Slicer to solve the basic task with state of the art methods
* I got insights into the development with and for Slicer
* I started to implement a python Slicer Extension to automate the previously found workflow using several aspects of slicer (CLI, Python Scripting, simpleITK, sitkUtils)
|}

==Illustrations==



==Background and References==

* [[2011_Winter_Project_Week:Intra-ProceduralProstateMotion]]

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-19T15:47:43Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (Universität Magdeburg, Germany)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|
* The objective of this project is to drive the discussion under which circumstances medical image registration can be used to support MRI guided liver interventions.
* Furthermore a simple implementation of a state of the art method to register iMRI to MRI shall show the principle possibility of such an approach.

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
* give an overview of factors that determin the applicability of (StV) registration to support liver interventions in MRI
* implement state of the art algorithm to register orthogonal iMRI slices to MRI volume

|

|}

==Illustrations==




==Background and References==

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-19T14:11:01Z

GGulamhussene: /* Project Description */

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (Universität Magdeburg, Germany)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|

|
* discuss the applicability of Slice-to-Volume registration of intra-interventional MRI to pre-interventional MRI to support liver interventions. (insights from radiologists would be valuable)
*
|

|}

==Illustrations==




==Background and References==

Project Week 25/Intra-operative deformable registration based on dense point cloud reconstruction

2017-06-19T13:40:00Z

GGulamhussene: /* Key Investigators */

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==
*[http://nearlab.polimi.it/medical/saram/ Sara Moccia], Politecnico di Milano, Italy
*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (Universität Magdeburg, Germany)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|

In this project, we aim at developing a feasibility study of a context-aware augmented-reality system for laparoscopic applications.
The system combines confident intra-operative multi organ semantic segmentation and 3D reconstruction to automatize intra-operative registration of pre-operative organ models.
|

Starting from:

- Intra-operative multi organ semantic segmentation

- Dense tissue reconstruction [1]

The plan is to develop:

A module for deformable registration of the pre-operative tissue models with the reconstructed intra-operative semantic point cloud.

|


|}

==Illustrations==





==Background and References==
Laparoscopy allows performing surgery through few small incisions, reducing patient’s trauma and improving the surgical outcome.
Despite the recognized medical benefits, it suffers from some limitations, which include limited maneuverability, reduced haptic, and limited field of view of the surgical scene [1].
Augmented Reality (AR) systems can attenuate some of these issues by providing an enhanced view of the surgical site.
One of the main open technical challenges in this field is the initial cross-modality registration between the pre-operative planning (obtained with CT or MRI) and the intra-operative surgical scenario [2].
Dense 3D image reconstruction and image semantic analysis can be exploited to establish the cross-modality correspondences by automatically detecting and localizing organs in the 3D endoscope field of view.
Deformable registration can be then performed to register the pre-operative model into the reconstructed surgical scene.

[1] V. Penza, J. Ortiz, L. S. Mattos, A. Forgione, E. De Momi, "Dense soft tissue 3D reconstruction refined with super- pixel segmentation for robotic abdominal surgery." International journal of computer assisted radiology and surgery. 2016; 11(2):197-206.

[2] G. Taylor, J. Barrie, A. Hood, P. Culmer, A. Neville, and D. Jayne, “Surgical innovations: Addressing the technology gaps in minimally invasive surgery,” Trends in Anaesthesia and Critical Care. 2013; 3(2):56–61.

[3] S. Bernhardt, S. A. Nicolau, L. Soler, C. Doignon, (2017). “The status of augmented reality in laparoscopic surgery as of 2016”, Medical image analysis. 2017; 37: 66-90.

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-19T13:26:14Z

GGulamhussene:

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/cas/team.php Gino Gulamhussene] (Universität Magdeburg, Germany)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|

|

|

|}

==Illustrations==




==Background and References==

Project Week 25/Slice-to-Volume Registration to Support MRI guided Interventions

2017-06-12T15:39:33Z

GGulamhussene: Created page with "__NOTOC__ Back to Projects List ==Key Investigators==  *[http://isgwww.cs.uni-magdeburg.de/isg/meyer.htm..."

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==

*[http://isgwww.cs.uni-magdeburg.de/isg/meyer.html Gino Gulamhussene ](Universität Magdeburg, Germany)

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|

|

|

|}

==Illustrations==




==Background and References==

Project Week 25

2017-06-12T15:30:33Z

GGulamhussene:

__NOTOC__
Back to [[Events]]

A summary of all past [[Project_Events#Past_Project_Weeks|Project Events]].

[[image:PW25.png|300px]] [[image:IEL_logo.png|225px]]
<br>

=Welcome to the web page for the 25th Project Week!=
It is a pleasure to announce that the 25th Project week will be held in [https://goo.gl/maps/b9CpkFxNyWN2 Catanzaro Lido] (Calabria, Italy) on June 26-30, 2017. This is the first time in Italy for the Slicer Community, and the event is organized in cooperation with [http://www.imagenglab.com ImagEngLab]. Catanzaro Lido is a city on the Ionian Sea, in the middle of Squillace Gulf where, according to the ancient legend, Odysseus started his journey back to Ithaca. Of course bring your swimsuit...the conference room and the hotel are 20 meters far away from the beach!

This project week is an event [[Post-NCBC-2014|endorsed]] by the MICCAI society.

Please make sure that you are on the NA-MIC Project Week [http://public.kitware.com/mailman/listinfo/na-mic-project-week mailing list].

===Local Organizing Committee===
*[http://www.imagenglab.com/newsite/mf_spadea/ Maria Francesca Spadea, PhD]
*[http://www.imagenglab.com/newsite/paolo_zaffino/ Paolo Zaffino, PhD].

==Videoconferences for preparation==
Time: Wednesday 9am EDT (GMT -4), April 15 to June 21, 2017
URL: [https://zoom.us/j/879371330 click here] to join the videoconference (zoom is the tool as of May 31)

#(Tina Kapur) Hangout #1: April 5 ([[PW25 Hangouts Notes|Notes]])
#(Steve Pieper) Hangout #2: April 12: Web browser based computing: Dockerized Slicer with remote computing and GPU computing; Cornerstone/LesionTracker OHIF; XTK->AMI (threejs); ePad; vtk.js; QWebEngine;
#(Andras Lasso) Hangout #3: April 19: Connecting devices such as surgical navigation, ultrasound, 3D Slicer, PLUS, OpenIGTLink, Augmented reality;
#(Tina Kapur) Hangout #4: April 26: Deep Learning for Detection of Cancer and Instruments;
#(Simon Drouin) Hangout #5: May 3: Volume Rendering, Augmented Reality, and Virtual Reality. [https://docs.google.com/document/d/1UwdSzjnDm1yEeQ44OEhXWbH6V83Uo1Cd4KngxoyrRdI/edit Notes];
#(Tina Kapur) Hangout #6: May 10: For new participants: What is project week and how to get the most out of participating in it?
#(Andrey Fedorov) Hangout #7: May 17:DICOM for Quantitative Imaging and integration with processing applications. ([http://bit.ly/2017NSPW-DICOM notes])
#(Tina Kapur) Hangout #8: May 24:Discussion of Projects and teams that have been provided on the wiki page by participants, internationalization strategy for Slicer.
#(Francesca Spadea) Hangout #9: May 31: Review of local logistics -- all registered attendees should join
#(Tina Kapur) Hangout #10: June 7: Discussion of Projects, Project Pages
#(TBD) Hangout #11: June 14: Review of Project Pages
#(Francesca Spadea) Hangout #12: June 21: Review of local logistics -- all registered attendees with questions should join

==Logistics==
*'''Dates:''' June 26-30, 2017. Consider staying for one more day (leaving Sunday morning), as a day off in a gorgeous sea place is planned on July 1st. More details in the calendar below.
*'''Location:''' [http://www.hotelperladelporto.it/en/home-page.aspx Perla del Porto Hotel]
**[mailto:prenotazioni@hotelperladelporto.it Booking]. Subject line: "Slicer Summer Project Week 2017".
***Special rates are:
****Single room, full bed, 79 € per night (1 person)
****Single room, queen bed 89 € per night (1 person)
****Double room, queen bed 99 € per night (2 people)
****Triple room, 110 € (3 people)
*'''Registration:''' To register please visit this [http://www.imagenglab.com/newsite/project-week page]
*'''Registration Fee:''' 320€ and it includes lunches, coffee breaks and airport connections
*'''Hotel:''' [http://www.hotelperladelporto.it/en/home-page.aspx Perla del Porto Hotel]. The closest airport is [http://www.lameziaairport.it/english/ Lamezia Terme Airport (IATA: SUF)].
*'''Transportation from Airport to Hotel:''' Your registration fee includes ground transportation [https://www.google.com/maps/dir/Lamezia+Terme+International+Airport,+Via+Aeroporto,+88046+Lamezia+Terme+CZ,+Italy/BEST+WESTERN+PLUS+Hotel+Perla+Del+Porto,+Via+Martiri+di+Cefalonia,+64,+88100+Catanzaro,+Italy/@38.868758,16.1564814,10z/data=!3m1!4b1!4m14!4m13!1m5!1m1!1s0x133fe15a3cbed47f:0x544ab120c3de78a6!2m2!1d16.2434017!2d38.9065845!1m5!1m1!1s0x134003d668252a13:0x2989caf676f45a72!2m2!1d16.6312407!2d38.827712!3e0 to/from the hotel and airport].
** Please fill out this [https://goo.gl/forms/7vmhxZSHy8Z1A62z2 form] to request transportation
*'''Local points of interest (pubs, restaurants, bar):''' [https://www.google.com/maps/d/viewer?mid=1FU63ik9Do3zzP6K2kvLVTtM2at8&ll=38.86221979925013%2C16.44292274999998&z=12 map] (constantly updated)

==Calendar==
{{#widget:Google Calendar
|id=kitware.com_sb07i171olac9aavh46ir495c4@group.calendar.google.com
|timezone=America/New_York&dates=20170108%2F20170114
|title=NA-MIC Project Week (Timezone is Italy / GMT+02.)
|view=WEEK
|dates=20170626/20170701
}}

iCal (.ics) link: https://calendar.google.com/calendar/ical/kitware.com_sb07i171olac9aavh46ir495c4%40group.calendar.google.com/public/basic.ics

=Projects=

<big>Please duplicate [https://na-mic.org/wiki/Project_Week_Template this template] to create a page for your project. </big>

Please put a brief preliminary title for your project here with some names in parenthesis for potential team members

#[[Project_Week_25/NeedleSegmentation | Needle Segmentation]]
#[[Project_Week_25/Human-Computer_Interaction_under_sterile_conditions |Human-Computer Interaction under Sterile Conditions]]
# [[Project_Week_25/Next_Generation_GPU_Volume_Rendering | Next Generation of Volume Rendering in VTK ]]
# [[Project_Week_25/Tracked-Ultrasound-Standardization-IV | Tracked Ultrasound Standardization IV: Controlling US Acquisition]]
#[[Project_Week_25/Intra-operative deformable_registration_based_on_dense_point_cloud_reconstruction |Intra-operative Deformable Registration Based on Dense Point Cloud Reconstruction]]
#[[Project_Week_25/Segmentation for improving image registration of preoperative MRI with intraoperative ultrasound images for neuro-navigation |Segmentation for Improving Image Registration of Preoperative MRI with Intraoperative Ultrasound Images for Neuro-navigation]]
#[[Project_Week_25/Deep_Learning_Data_augmentation_for_prostate_segmentation | Deep Learning: Data Augmentation for Prostate Segmentation]]
#DICOM Segmentation Support for Cornerstone / OHIF Viewer (Erik Ziegler, Steve Pieper, Marco Nolden, Tina Kapur)
#[[Project_Week_25/Conversion of DICOM Single Frame MR to Enhanced Multiframe | Conversion of DICOM Single Frame MR to Enhanced Multiframe]]
#[[Project_Week_25/Development_and_Evaluation_of_New_AR_Visualization_Techniques_to_Support_Radiological_Interventions | Development and Evaluation of New AR Visualization Techniques to Support Radiological Interventions]]
#[[Project_Week_25/Interactive_Manipulation_of_Plots_and_Graphs | Interactive Manipulation of Plots and Graphs]]
#Steerable Catheters Path Planner Extension for Brain Surgery Applications (Alberto Favaro, Marlene Pinzi)
#[[Project_Week_25/Improving Depth Perception in Interventional Augmented Reality Visualization/Sonification | Improving Depth Perception in Interventional Augmented Reality Visualization/Sonification]]
#[[Project_Week_25/DICOM_for_Quantitative_Imaging_and_Integration_with_Processing_Applications|DICOM for Quantitative Imaging and Integration with Processing Applications]]
#CNN for PseudoCT Generation from T1/T2 MRI (Giampaolo Pileggi, Paolo Zaffino, Salvatore Scaramuzzino, Maria Francesca Spadea, Gino Gulamhussene, Anneke Meyer)
#Internationalizing Slicer Modules (Juan Ruiz Alzola)
#Interfacing Slicer to Mobile Phone-controlled Sensors (Juan Ruiz Alzola)
#Slicer and 3D Printing (Juan Ruiz Alzola, Mike Halle, Christian Hansen)
#Slicer Export to VR (Juan Ruiz Alzola, Mike Halle)
#[[Project_Week_25/Slice-to-Volume Registration to Support MRI guided Interventions | Slice-to-Volume Registration to Support MRI guided Interventions ]] (Gino Gulamhussene)
#[[Project_Week_25/SALT_Spatiotemporal_Modeling: | Slicer SALT Validation: Spatiotemporal Modeling of Subcortical Structures ]] (James Fishbaugh, Guido Gerig)
#[[Project_Week_25/Wrist_Kinematics: | Kinematic Analysis of the Wrist from Dynamic MRI]] (James Fishbaugh, Guido Gerig)
#[[Project_Week_25/SlicerCIP_Bronchiectasis | SlicerCIP: Tool for Interactive Bronchiectasis Identification and Measurement]](Pietro Nardelli, Jorge Onieva, Raúl San José Estépar)
#[[Project_Week_25/Multimodal: | Multimodal, Multiresolution, Multivolume Data]] (Guido Gerig)

=Registrants=

Do not add your name to this list - it is maintained by the organizers based on your paid registration. To register, visit this [http://www.imagenglab.com/newsite/project-week/ registration site].

# Kikinis, Ron :: Brigham and Women's Hospital, Harvard Medical School, USA
# Pieper, Steve :: Isomics, Inc., USA
# Kapur, Tina :: Brigham and Women's Hospital, Harvard Medical School, USA
# Spadea, Maria Francesca :: Magna Graecia University, Italy
# Zaffino, Paolo :: Magna Graecia University, Italy
# Scaramuzzino, Salvatore :: Magna Graecia University/ASL Vercelli, Italy
# Pileggi, Giampaolo :: Magna Graecia University, Italy/DKFZ, Germany
# Rackerseder, Julia :: Technische Universität München, Germany
# Pinter, Csaba :: Queen's University, Canada
# Kraß, Scheherazade :: University of Bremen, Germany
# Gerig, Guido :: NYU Tandon School of Engineering, USA
# Punzo, Davide :: Kapteyn Astronomical Institute, University of Groningen, The Nederlands
# Drouin, Simon :: NeuroImaging and Surgical Technologies (NIST) Lab, Canada
# Lasso, Andras :: School of Computing, Queen's University, Canada
# Favaro, Alberto :: Politecnico di Milano, Italy
# Leger, Etienne :: Concordia University, Canada
# Ziegler, Erik :: Ziegler Consult SAS
# Onken, Michael :: Open Connections GmbH, Germany
# Pinzi, Marlene :: Imperial College, UK
# Nitsch, Jennifer :: University Of Bremen, Germany
# Moccia, Sara :: Politecnico di Milano, Italy
# Black, David :: Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany
# Penzkofer, Tobias :: Charité Universitätsmedizin, Berlin, Germany
# Hansen, Christian :: Universität Magdeburg, Germany
# Vegard Solberg, Ole :: Norway
# Heinrich, Florian :: Universität Magdeburg, Germany
# Mewes, André :: Universität Magdeburg, Germany
# Hatscher, Benjamin :: Universität Magdeburg, Germany
# Hettig, Julian :: Universität Magdeburg, Germany
# Meyer, Anneke :: Universität Magdeburg, Germany
# Gulamhussene, Gino :: Universität Magdeburg, Germany
# Cassetta, Roberto :: Politecnico di Milano, Italy
# Fillion-Robin, Jean-Christophe :: Kitware, USA
# Metzger, Jasmin :: DKFZ, Germany
# Fishbaugh, James :: NYU Tandon School of Engineering, USA
# Nolden, Marco :: DKFZ, Germany
# Jorge Quintero Nehrkorn :: Canary Islands, Spain

Project Week 25/Slice to volume registration to support liver interventions

2017-06-07T14:11:47Z

GGulamhussene: Created page with "__NOTOC__ Back to Projects List ==Key Investigators== {| |- | [http://www.spl.harvard.edu/pages/People/tkapur Tina Kapur] || [http://nist.mni...."

__NOTOC__

Back to [[Project_Week_25#Projects|Projects List]]

==Key Investigators==
{|
|-
| [http://www.spl.harvard.edu/pages/People/tkapur Tina Kapur] || [http://nist.mni.mcgill.ca/?page_id=369 Simon Drouin] || [http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis]
|-
| Investigator 4 || Investigator 5 || Investigator 6
|}

==Project Description==
{| class="wikitable"
! style="text-align: left; width:27%" | Objective
! style="text-align: left; width:27%" | Approach and Plan
! style="text-align: left; width:27%" | Progress and Next Steps
|- style="vertical-align:top;"
|

Please start each sentence in a new line.

Like this.
|

Please start each sentence in a new line.

|

Please start each sentence in a new line.

|}

==Illustrations==

https://www.slicer.org/img/Slicer4Announcement-HiRes.png

<embedvideo service="youtube">https://www.youtube.com/watch?v=MKLWzD0PiIc</embedvideo>

==Background and References==