NAMIC Wiki - User contributions [en]

2017 Winter Project Week/LORDWI

2017-01-13T15:45:40Z

Henrikgjensen: /* Project Description */

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png
Image:FigHCPResult2.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* '''Objective''': Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used). ''In short: Is this a good registration?''
* '''Short description''': The model is based on Free-Form Deformation B-splines where the diffusion gradient directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used (gradient) directionally. Histogram is smoothed. Similarity is NMI and optimisation is L-BFGS.
|

* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data, intra-subject multi-shell, and intra-subject on child brain tumor subjects.
* Figure out anyone is in need of DWI registration for testing, have a dataset already registered (for comparison), or can help with anatomical landmarks.
* Consider if Slicer can be used in tandem for evaluation.
|

The goal was too lofty but the week was excellent.
* Had a lot of great discussions and good insight into what others are doing.
* Got working on acquiring data from different sources (more problems are always welcome!)
* Shared some experiences.
* Got a nice introduction to Slicer.

|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-13T15:22:19Z

Henrikgjensen: /* Project Description */

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png
Image:FigHCPResult2.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* '''Objective''': Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used). ''In short: Is this a good registration?''
* '''Short description''': The model is based on Free-Form Deformation B-splines where the diffusion gradient directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used (gradient) directionally. Histogram is smoothed. Similarity is NMI and optimisation is L-BFGS.
|

* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data, intra-subject multi-shell, and intra-subject on child brain tumor subjects.
* Figure out anyone is in need of DWI registration for testing, have a dataset already registered (for comparison), or can help with anatomical landmarks.
* Consider if Slicer can be used in tandem for evaluation.
|

The goal was too lofty but the week was excellent.
* Had a lot of great discussions and great discussions.
* Got working on acquiring data from different sources (more problems are always welcome!)
* Shared some experiences.
* Got a nice introduction to Slicer.

|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-13T03:39:41Z

Henrikgjensen: /* Project Description */

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png
Image:FigHCPResult2.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* '''Objective''': Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used). ''In short: Is this a good registration?''
* '''Short description''': The model is based on Free-Form Deformation B-splines where the diffusion gradient directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used (gradient) directionally. Histogram is smoothed. Similarity is NMI and optimisation is L-BFGS.
|

* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data, intra-subject multi-shell, and intra-subject on child brain tumor subjects.
* Figure out anyone is in need of DWI registration for testing, have a dataset already registered (for comparison), or can help with anatomical landmarks.
* Consider if Slicer can be used in tandem for evaluation.
|

The goal was too lofty but the product was good.
* Had a lot of great discussions and great discussions.
* Got working on acquiring data from different sources (more problems are always welcome!)
* Shared some experiences.
* Got a nice introduction to Slicer.

|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-09T00:43:20Z

Henrikgjensen:

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png
Image:FigHCPResult2.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* '''Objective''': Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used). ''In short: Is this a good registration?''
* '''Short description''': The model is based on Free-Form Deformation B-splines where the diffusion gradient directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used (gradient) directionally. Histogram is smoothed. Similarity is NMI and optimisation is L-BFGS.
|

* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data, intra-subject multi-shell, and intra-subject on child brain tumor subjects.
* Figure out anyone is in need of DWI registration for testing, have a dataset already registered (for comparison), or can help with anatomical landmarks.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-09T00:33:33Z

Henrikgjensen:

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png
Image:FigHCPResult2.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* '''Objective''': Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used). ''In short: Is this a good registration?''
* '''Short description''': The model is based on Free-Form Deformation B-splines where the directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used directionally. Histogram is smoothed. Similarity is NMI and optimisation is L-BFGS.
|

* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data, intra-subject multi-shell, and intra-subject on child brain tumor subjects.
* Figure out anyone is in need of DWI registration for testing, have a dataset already registered (for comparison), or can help with anatomical landmarks.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-09T00:22:35Z

Henrikgjensen: /* Project Description */

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png
Image:FigHCPResult2.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* Objective: Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used).
* Short description: The model is based on Free-Form Deformation B-splines where the directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used directionally. Histogram is built smoothed. Similarity is NMI and optimisation is L-BFGS.
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-08T23:53:10Z

Henrikgjensen:

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png
Image:FigHCPResult2.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

File:FigHCPResult2.png

2017-01-08T23:52:46Z

Henrikgjensen: Same as http://www.na-mic.org/Wiki/index.php/File:FigHCPResult1.png, here shown for the HCP b0's (taken at b=5).

Same as http://www.na-mic.org/Wiki/index.php/File:FigHCPResult1.png, here shown for the HCP b0's (taken at b=5).

2017 Winter Project Week/LORDWI

2017-01-08T23:50:37Z

Henrikgjensen:

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png
Image:FigHCPResult1.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

File:FigHCPResult1.png

2017-01-08T23:47:59Z

Henrikgjensen: Nonrigid registration of two HCP 90-direction DWI volumes. Shown here from two slice views are the Generalised FA. From the left: (1) interpolated source, (2) nonrigid registration (compare with source), (3) affine registration. (4) interpolated target.

Nonrigid registration of two HCP 90-direction DWI volumes. Shown here from two slice views are the Generalised FA. From the left: (1) interpolated source, (2) nonrigid registration (compare with source), (3) affine registration. (4) interpolated target.

2017 Winter Project Week/LORDWI

2017-01-06T23:23:59Z

Henrikgjensen:

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:FigCancerResult1.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-06T23:23:23Z

Henrikgjensen:

__NOTOC__
<gallery>
Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
Image:CancerResult1.png

</gallery>

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Fredrik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

File:FigCancerResult1.png

2017-01-06T23:21:25Z

Henrikgjensen: Nonrigid registration of child cancer DWI. Intra-subject (FllowUp to Baseline), poor quality and resolution (around [0.86, 0.86, 6.5] mm). Top: FA, Bottom: b0 image. From the left: (1) interpolated source, (2) nonrigid registration (compare with source...

Nonrigid registration of child cancer DWI. Intra-subject (FllowUp to Baseline), poor quality and resolution (around [0.86, 0.86, 6.5] mm). Top: FA, Bottom: b0 image. From the left: (1) interpolated source, (2) nonrigid registration (compare with source), (3) affine registration. (4) interpolated target.

2017 Winter Project Week/Dinner

2017-01-06T17:57:58Z

Henrikgjensen: /* RSVPs */

==Dinner Specs==

*Date and Time: Thursday, January 12, 6pm
*Location: Desi Dhaba, 401 Massachusetts Ave, Cambridge (about 10 minute walk from MIT)
*Food: Indian. (Veg and non-veg options, naan, rice)
*Cost: (TBD, last year was $25) - CASH ONLY!
*Drinks: tap water is included in this price. Beyond that each person pays individually for their drinks.

==RSVPs==

#Curt Lisle
#Tina Kapur
# Andrey Fedorov
# Csaba Pinter
# Simon Drouin
# Alireza Mehrtash
# Henrik G. Jensen

2017 Winter Project Week/LORDWI

2017-01-02T15:32:22Z

Henrikgjensen: /* Project Description */

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Frederik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
* This method introduces Mutual Information to nonrigid registration of DWI. Discuss if other similarity measures (e.g. correlation measures) would be better suited for specific problems.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-02T15:29:16Z

Henrikgjensen: /* Project Description */

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Frederik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-02T15:23:40Z

Henrikgjensen: /* Project Description */

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Frederik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
* Consider if Slicer can be used in tandem for evaluation.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-02T15:22:42Z

Henrikgjensen: /* Project Description */

==Key Investigators==
* Henrik Groenholt Jensen, UCPH
* Lauren J. O'Donnell, BWH
* Tina Kapur, BWH
* Fan Zhang, BWH
* Carl-Frederik Westin, BWH

==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;"
|

* Evaluate/validate the density-based registration framework for DWI developed at UCPH (this is a nonrigid model - see the link below for a paper on the global algorithm).
|

* Figure out what diffusion data is available (preferably data already evaluated by another registration model).
* Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data and intra-subject multi-shell, and intra-subject on young brain tumor subjects.
|

*
|}

==Background and References==

* MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37

2017 Winter Project Week/LORDWI

2017-01-02T15:04:52Z

Henrikgjensen: /* Background and References */

2017 Winter Project Week/LORDWI

2017-01-02T15:00:55Z

Henrikgjensen: /* Project Description */

2017 Winter Project Week/LORDWI

2017-01-02T15:00:20Z

Henrikgjensen: /* Project Description */

2017 Winter Project Week/LORDWI

2017-01-02T14:36:37Z

Henrikgjensen: /* Key Investigators */

2017 Winter Project Week

2016-12-31T13:20:16Z

Henrikgjensen: /* To be Categorized */

__NOTOC__
[[image:PW-Winter2017.png|300px]]

=Welcome to the web page for the 24th Project Week!=

The 24th NA-MIC Project Week open source hackathon is being held during the week of January 9-13, 2017 at MIT. Please go through this page for information, and if you have questions, please contact [https://www.spl.harvard.edu/pages/People/tkapur Tina Kapur, PhD].

==Logistics==

*'''Dates:''' January 9-13, 2017.
*'''Location:''' [https://www.google.com/maps/place/MIT:+Computer+Science+and+Artificial+Intelligence+Laboratory/@42.361864,-71.090563,16z/data=!4m2!3m1!1s0x0:0x303ada1e9664dfed?hl=en MIT CSAIL], Cambridge, MA. (Rooms: [[MIT_Project_Week_Rooms#Kiva|Kiva]], R&D)
*'''REGISTRATION:''' Register [https://www.regonline.com/2017projectweek here]. Registration Fee: $330.
*'''Hotel:''' Similar to previous years, no rooms have been blocked in a particular hotel.

== Introduction ==
The National Alliance for Medical Image Computing (NAMIC), was founded in 2005 and chartered with building a computational infrastructure to support biomedical research as part of the NIH funded [http://www.ncbcs.org/ NCBC] program. The work of this alliance has resulted in important progress in algorithmic research, an open source medical image computing platform [http://www.slicer.org 3D Slicer], enhancements to the underlying building blocks [http://www.vtk.org VTK], [http://www.itk.org ITK], [http://www.cmake.org CMake], and [http://www.cdash.org CDash], and the creation of a community of algorithm researchers, biomedical scientists and software engineers who are committed to open science. This community meets twice a year in an open source hackathon event called Project Week.

[[Engineering:Programming_Events|Project Week]] is a semi-annual open source hackathon which draws 60-120 researchers. As of August 2014, it is a [http://www.miccai.org/organization MICCAI] endorsed event. The participants work collaboratively on open-science solutions for problems that lie on the interfaces of the fields of computer science, mechanical engineering, biomedical engineering, and medicine. In contrast to conventional conferences and workshops the primary focus of the Project Weeks is to make progress in projects (as opposed to reporting about progress). The objective of the Project Weeks is to provide a venue for this community of medical open source software creators. Project Weeks are open to all, are publicly advertised, and are funded through fees paid by the attendees. Participants are encouraged to stay for the entire event.

Project Week activities: Everyone shows up with a project. Some people are working on the platform. Some people are developing algorithms. Some people are applying the tools to their research problems. We begin the week by introducing projects and connecting teams. We end the week by reporting progress. In addition to the ongoing working sessions, breakout sessions are organized ad-hoc on a variety of special topics. These topics include: discussions of software architecture, presentations of new features and approaches and topics such as Image-Guided Therapy.

Several funded projects use the Project Week as a place to convene and collaborate. These include [http://nac.spl.harvard.edu/ NAC], [http://www.ncigt.org/ NCIGT], [http://qiicr.org/ QIICR], and [http://ocairo.technainstitute.com/open-source-software-platforms-and-databases-for-the-adaptive-process/ OCAIRO].

A summary of all previous Project Events is available [[Project_Events#Past_Project_Weeks|here]].

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]

==Conference Calls for Preparation==

Conference call phone number and notes are available [[TCONS:2017_Winter_Project_Week|here]].

==Agenda==

{|border="1"
|-style="background:#b0d5e6;color:#02186f"
!style="width:10%" |Time
!style="width:18%" |Monday, January 9
!style="width:18%" |Tuesday, January 10
!style="width:18%" |Wednesday, January 11
!style="width:18%" |Thursday, January 12
!style="width:18%" |Friday, January 13
|-
|
|bgcolor="#dbdbdb"|'''Project Presentations'''
|bgcolor="#6494ec"| '''Work on Projects'''
|bgcolor="#6494ec"| '''Work on Projects'''
|bgcolor="#6494ec"| '''Work on Projects'''
|bgcolor="#faedb6"| '''Reporting Day'''
|-
|bgcolor="#ffffdd"|'''8:30am'''
|rowspan="2"|
|bgcolor="#ffffaa"|Breakfast
|bgcolor="#ffffaa"|Breakfast
|bgcolor="#ffffaa"|Breakfast
|bgcolor="#ffffaa"|Breakfast
|-
|bgcolor="#ffffdd"|'''9:00am-10:30am'''
|bgcolor="#88aaae"|Prostate Clinical Discussion with Clare Tempany (to be confirmed)
|bgcolor="#88aaae"|9:00am-10:00am: Shape Analysis Breakout ---- ---- ---- ---- ---- ---- 10:00am-12:00pm: Luis Ibanez TensorFlow Workshop (to be confirmed)
|bgcolor="#88aaae"|Prostate Cancer: Quantitative Imaging Network Discussion with Fiona Fennessy
|bgcolor="#88aaae"|Clinical Topics
|-
|bgcolor="#ffffdd"|'''10:30am-12pm:'''
|'''Talk (Sebastien Ourselin, PhD, UCL)'''
|
|
|
|Project Reporting
|-
|bgcolor="#ffffdd"|'''12:00pm-1:00pm'''
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch boxes; Adjourn by 1:30pm
|-
|bgcolor="#ffffdd"|'''1:00-5:30pm'''
|'''1:00pm-2:30pm:''' Project Presentations
|
|
|
|'''1:30-2:30pm:''' [[AMIGO_TourPW2017Winter|AMIGO Tour]]
|-
|bgcolor="#ffffdd"|'''5:30pm'''
|bgcolor="#f0e68b"|Adjourn for the day
|bgcolor="#f0e68b"|Adjourn for the day
|bgcolor="#f0e68b"|Adjourn for the day
|bgcolor="#f0e68b"|Adjourn for the day [[2017_Winter_Project_Week/Dinner|Dinner on Thursday Night]] (Optional)
|
|}

==Calendar==

'''''The events are listed in the calendar below. Note that due to a current known limitation of our infrastructure, you will need to manually navigate to the week of January 8, 2017 to see the relevant events.''''' 

{{#widget:Google Calendar
|id=kitware.com_sb07i171olac9aavh46ir495c4@group.calendar.google.com
|timezone=America/New_York&dates=20170108%2F20170114
|title=NAMIC Winter Project Week
|view=WEEK
|dates=20170108/20170114
}}

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

='''Projects'''=

*Use this [[2017_Project_Week_Template | Updated Template for project pages]]

== Learning and GPUs ==

* [[2017 Winter Project Week/Needle Segmentation from MRI | Needle Segmentation from MRI]] (Ziyang Wang, Guillaume Pernelle, Tina Kapur)

== Web Technologies ==
* [[2017_Winter_Project_Week/OAuth2SlicerPathology | OAuth2.0 authentication in SlicerPathology]] (Erich Bremer)

== Visualization ==
* [[2017 Winter Project Week/Slicer_HoloLens | Slicer & HoloLens]] (Adam Rankin)

== IGT ==
* [[2017 Winter Project Week/Tracked Ultrasound Standardization | Tracked Ultrasound Standardization III: The Refining]] (Andras Lasso, Simon Drouin, Junichi Tokuda, Longquan Chen, Adam Rankin, Janne Beate Bakeng)
* [[2017 Winter Project Week/WhiteMatterAnalysis | WhiteMatterAnalysis New Module and Documentation]] (Fan Zhang, Shun Gong, Isaiah Norton, Ye Wu, Lauren J. O'Donnell)
* [[2017 Winter Project Week/ROS Surface Scan | ROS Surface Scan]] (Tobias Frank, Junichi Tokuda, Longquan Chen)

== Robotics in IGT ==
* [[2017 Winter Project Week/OpenIGTLink for the Communications of Robotics Devices: Adding Kuka LWR connection to MeVisLab | OpenIGTLink for the Communications of Robotics Devices: Adding Kuka LWR connection to MeVisLab ]] (Scheherazade Kraß (Shery), Junichi Tokuda, Longquan Chen, )

== Craniofacial ==
* [[2017 Winter Project Week/Web-based system to federate biological, clinical and morphological data | Web-based system to federate biological, clinical and morphological data]] (Juan Carlos Prieto, Clément Mirabel)

== Infrastructure ==
* [[2017 Winter Project Week/Slicer Qt5 and Python3 | Slicer Qt5 and Python3]] (Steve Pieper, Jean-Christophe Fillion-Robin, Andras Lasso, Andrey Fedorov)
* [[2017 Winter Project Week/SlicerDMRIDocumentationAndTesting | SlicerDMRI Testing and Documentation]] (Isaiah Norton, Fan Zhang, Shun Gong, Ye Wu, Lauren J. O'Donnell)
* [[2017 Winter Project Week/SubjectHierarchyRefactoring | Subject hierarchy refactoring]] (Csaba Pinter)
* [[2017 Winter Project Week/IPFS_NoSQL_Combination | IPFS and NoSQL for cloud databases]] (Hans Meine, Steve Pieper)
* [[2017 Winter Project Week/DiPy_in_Slicer | DiPy integration in Slicer]] (Isaiah Norton, Lauren J. O'Donnell)

== DICOM ==
* [[2017 Winter Project Week/dcmqi | dcmqi library and DICOM QuantitativeReporting]] (Andrey Fedorov, Christian Herz, JC, Steve Pieper)

==To be Categorized==

* [[2017 Winter Project Week/HyperspectralOpht | Slicer for Hyperspectral Ophthalmology Analysis ]] (Sungmin Hong)
* [[2017 Winter Project Week/SlicerShape | Slicer for Shape Analysis ]] (Beatriz Paniagua)
* [[2017 Winter Project Week/SlicerGeometryModifier | Slicer support for interactive modification of 3D models ]] (Johan Andruejol, Beatriz Paniagua)
* [[2017 Winter Project Week/Plastimatch19 | Upgrade Plastimatch extension ]] (Greg Sharp)
* [[2017 Winter Project Week/PyRadiomics | PyRadiomics library ]] (Joost van Griethuysen, Hugo Aerts, Andrey Fedorov, Steve Pieper, Jean-Christope Fillion-Robin)
* [[2017 Winter Project Week/LORDWI | Density-based DMRI registration ]] (Henrik Groenholt Jensen, Lauren J. O'Donnell, Tina Kapur, Fan Zhang, Carl-Frederik Westin)

= '''Registrants''' =

Do not add your name to this list - it is maintained by the organizers based on your paid registration. To register, visit this [https://www.regonline.com/2017projectweek registration site].

# A, Zeina :: SHBOUL
# Aerts, Hugo :: DFCI-Harvard
# Alam, Mahbubul :: Old Dominion University
# Anderson, Peter :: Retired
# Andruejol, Johan :: Kitware, Inc.
# Bakeng, Janne Beate :: SINTEF
# Beers, Andrew :: Massachusetts General Hospital
# Bernal Rusiel, Jorge Luis :: Boston Children's Hospital
# Bremer, Erich :: Stony Brook University
# Cetin Karayumak, Suheyla :: Brigham and Women's Hospital
# Chae, Michael :: Monash University
# Chauvin, Laurent :: ETS
# Dalca, Adrian :: Massachusetts Institute of Technology
# Fedorov, Andriy :: Brigham and Women's Hospital
# Fillion-Robin, Jean-Christophe :: Kitware, Inc.
# Girault, Alexis :: Kitware, Inc.
# Golland, Polina :: Massachusetts Institute of Technology
# Gollub, Randy :: Massachusetts General Hospital
# Gong, Shun :: Brigham and Women's Hospital
# Guerrier de Dumast, Priscille :: University of Michigan
# Harris, Gordon :: Massachusetts General Hospital
# Herz, Christian :: Brigham and Women's Hospital
# Hong, Sungmin :: New York University
# Hosny, Ahmed :: Dana-Farber
# Jagadeesan, Jayender :: Brigham and Women's Hospital
# Kapur, Tina :: Brigham and Women's Hospital
# Kikinis, Ron :: Brigham and Women's Hospital
# Lisle, Curtis :: KnowledgeVis, LLC
# Mastrogiacomo, Katie :: Brigham and Women's Hospital
# Mateus, D. :: TUM
# Mehrtash, Alireza :: Brigham and Women's Hospital
# Meine, Hans :: University of Bremen
# Meyer, Anneke :: University of Magdeburg
# Miller, James :: GE Research
# Mirabel, Clement :: University of Michigan
# Nitsch, Jennifer :: University of Bremen
# Norton, Isaiah :: Brigham and Women's Hospital
# O'Donnell, Lauren :: Brigham and Women's Hospital
# Oram, Louise :: The Intervention Centre-Oslo University Hospital
# Paniagua, Beatriz :: Kitware, Inc.
# Parmar, Chintan :: DFCI-Harvard Medical School
# Peled, Sharon :: Brigham and Women's Hospital
# Pieper, Steve :: Isomics, Inc.
# Pinter, Csaba :: Queen's University
# Preiswerk, Frank :: Brigham and Women's Hospital/Harvard Medical School
# Pujol, Sonia :: Brigham and Women's Hospital/Harvard Medical School
# Rankin, Adam :: Robarts Research Institute
# Rheault, Francois :: Université de Sherbrooke
# Sharp, Gregory :: Massachusetts General Hospital
# Sridharan, Patmaa :: University of Pennsylvania-CBICA
# Vidyaratne, Lasitha :: Old Dominion University
# Ye, Wu :: Brigham and Women's Hospital
# Zeleznik, Roman :: DFCI
# Zhang, Fan :: Brigham and Women's Hospital
# Zhang, Miaomiao :: Massachusetts Institute of Technology
# Ziegler, Erik :: Open Health Imaging Foundation/Mass General Hospital

2017 Winter Project Week/LORDWI

2016-12-31T12:59:00Z

Henrikgjensen: /* Project Description */

==Key Investigators==


==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;"
|

*
|

*
|

*
|}

==Background and References==

2017 Winter Project Week/LORDWI

2016-12-31T12:58:30Z

Henrikgjensen: /* Key Investigators */

2017 Winter Project Week/LORDWI

2016-12-31T12:58:15Z

Henrikgjensen: Created page with "==Key Investigators== "

==Key Investigators==

2017 Winter Project Week

2016-12-31T12:56:11Z

Henrikgjensen: /* To be Categorized */

__NOTOC__
[[image:PW-Winter2017.png|300px]]

=Welcome to the web page for the 24th Project Week!=

The 24th NA-MIC Project Week open source hackathon is being held during the week of January 9-13, 2017 at MIT. Please go through this page for information, and if you have questions, please contact [https://www.spl.harvard.edu/pages/People/tkapur Tina Kapur, PhD].

==Logistics==

*'''Dates:''' January 9-13, 2017.
*'''Location:''' [https://www.google.com/maps/place/MIT:+Computer+Science+and+Artificial+Intelligence+Laboratory/@42.361864,-71.090563,16z/data=!4m2!3m1!1s0x0:0x303ada1e9664dfed?hl=en MIT CSAIL], Cambridge, MA. (Rooms: [[MIT_Project_Week_Rooms#Kiva|Kiva]], R&D)
*'''REGISTRATION:''' Register [https://www.regonline.com/2017projectweek here]. Registration Fee: $330.
*'''Hotel:''' Similar to previous years, no rooms have been blocked in a particular hotel.

== Introduction ==
The National Alliance for Medical Image Computing (NAMIC), was founded in 2005 and chartered with building a computational infrastructure to support biomedical research as part of the NIH funded [http://www.ncbcs.org/ NCBC] program. The work of this alliance has resulted in important progress in algorithmic research, an open source medical image computing platform [http://www.slicer.org 3D Slicer], enhancements to the underlying building blocks [http://www.vtk.org VTK], [http://www.itk.org ITK], [http://www.cmake.org CMake], and [http://www.cdash.org CDash], and the creation of a community of algorithm researchers, biomedical scientists and software engineers who are committed to open science. This community meets twice a year in an open source hackathon event called Project Week.

[[Engineering:Programming_Events|Project Week]] is a semi-annual open source hackathon which draws 60-120 researchers. As of August 2014, it is a [http://www.miccai.org/organization MICCAI] endorsed event. The participants work collaboratively on open-science solutions for problems that lie on the interfaces of the fields of computer science, mechanical engineering, biomedical engineering, and medicine. In contrast to conventional conferences and workshops the primary focus of the Project Weeks is to make progress in projects (as opposed to reporting about progress). The objective of the Project Weeks is to provide a venue for this community of medical open source software creators. Project Weeks are open to all, are publicly advertised, and are funded through fees paid by the attendees. Participants are encouraged to stay for the entire event.

Project Week activities: Everyone shows up with a project. Some people are working on the platform. Some people are developing algorithms. Some people are applying the tools to their research problems. We begin the week by introducing projects and connecting teams. We end the week by reporting progress. In addition to the ongoing working sessions, breakout sessions are organized ad-hoc on a variety of special topics. These topics include: discussions of software architecture, presentations of new features and approaches and topics such as Image-Guided Therapy.

Several funded projects use the Project Week as a place to convene and collaborate. These include [http://nac.spl.harvard.edu/ NAC], [http://www.ncigt.org/ NCIGT], [http://qiicr.org/ QIICR], and [http://ocairo.technainstitute.com/open-source-software-platforms-and-databases-for-the-adaptive-process/ OCAIRO].

A summary of all previous Project Events is available [[Project_Events#Past_Project_Weeks|here]].

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]

==Conference Calls for Preparation==

Conference call phone number and notes are available [[TCONS:2017_Winter_Project_Week|here]].

==Agenda==

{|border="1"
|-style="background:#b0d5e6;color:#02186f"
!style="width:10%" |Time
!style="width:18%" |Monday, January 9
!style="width:18%" |Tuesday, January 10
!style="width:18%" |Wednesday, January 11
!style="width:18%" |Thursday, January 12
!style="width:18%" |Friday, January 13
|-
|
|bgcolor="#dbdbdb"|'''Project Presentations'''
|bgcolor="#6494ec"| '''Work on Projects'''
|bgcolor="#6494ec"| '''Work on Projects'''
|bgcolor="#6494ec"| '''Work on Projects'''
|bgcolor="#faedb6"| '''Reporting Day'''
|-
|bgcolor="#ffffdd"|'''8:30am'''
|rowspan="2"|
|bgcolor="#ffffaa"|Breakfast
|bgcolor="#ffffaa"|Breakfast
|bgcolor="#ffffaa"|Breakfast
|bgcolor="#ffffaa"|Breakfast
|-
|bgcolor="#ffffdd"|'''9:00am-10:30am'''
|bgcolor="#88aaae"|Prostate Clinical Discussion with Clare Tempany (to be confirmed)
|bgcolor="#88aaae"|9:00am-10:00am: Shape Analysis Breakout ---- ---- ---- ---- ---- ---- 10:00am-12:00pm: Luis Ibanez TensorFlow Workshop (to be confirmed)
|bgcolor="#88aaae"|Prostate Cancer: Quantitative Imaging Network Discussion with Fiona Fennessy
|bgcolor="#88aaae"|Clinical Topics
|-
|bgcolor="#ffffdd"|'''10:30am-12pm:'''
|'''Talk (Sebastien Ourselin, PhD, UCL)'''
|
|
|
|Project Reporting
|-
|bgcolor="#ffffdd"|'''12:00pm-1:00pm'''
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch
|bgcolor="#ffffaa"|Lunch boxes; Adjourn by 1:30pm
|-
|bgcolor="#ffffdd"|'''1:00-5:30pm'''
|'''1:00pm-2:30pm:''' Project Presentations
|
|
|
|'''1:30-2:30pm:''' [[AMIGO_TourPW2017Winter|AMIGO Tour]]
|-
|bgcolor="#ffffdd"|'''5:30pm'''
|bgcolor="#f0e68b"|Adjourn for the day
|bgcolor="#f0e68b"|Adjourn for the day
|bgcolor="#f0e68b"|Adjourn for the day
|bgcolor="#f0e68b"|Adjourn for the day [[2017_Winter_Project_Week/Dinner|Dinner on Thursday Night]] (Optional)
|
|}

==Calendar==

'''''The events are listed in the calendar below. Note that due to a current known limitation of our infrastructure, you will need to manually navigate to the week of January 8, 2017 to see the relevant events.''''' 

{{#widget:Google Calendar
|id=kitware.com_sb07i171olac9aavh46ir495c4@group.calendar.google.com
|timezone=America/New_York&dates=20170108%2F20170114
|title=NAMIC Winter Project Week
|view=WEEK
|dates=20170108/20170114
}}

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

='''Projects'''=

*Use this [[2017_Project_Week_Template | Updated Template for project pages]]

== Learning and GPUs ==

* [[2017 Winter Project Week/Needle Segmentation from MRI | Needle Segmentation from MRI]] (Ziyang Wang, Guillaume Pernelle, Tina Kapur)

== Web Technologies ==
* [[2017_Winter_Project_Week/OAuth2SlicerPathology | OAuth2.0 authentication in SlicerPathology]] (Erich Bremer)

== Visualization ==
* [[2017 Winter Project Week/Slicer_HoloLens | Slicer & HoloLens]] (Adam Rankin)

== IGT ==
* [[2017 Winter Project Week/Tracked Ultrasound Standardization | Tracked Ultrasound Standardization III: The Refining]] (Andras Lasso, Simon Drouin, Junichi Tokuda, Longquan Chen, Adam Rankin, Janne Beate Bakeng)
* [[2017 Winter Project Week/WhiteMatterAnalysis | WhiteMatterAnalysis New Module and Documentation]] (Fan Zhang, Shun Gong, Isaiah Norton, Ye Wu, Lauren J. O'Donnell)
* [[2017 Winter Project Week/ROS Surface Scan | ROS Surface Scan]] (Tobias Frank, Junichi Tokuda, Longquan Chen)

== Robotics in IGT ==
* [[2017 Winter Project Week/OpenIGTLink for the Communications of Robotics Devices: Adding Kuka LWR connection to MeVisLab | OpenIGTLink for the Communications of Robotics Devices: Adding Kuka LWR connection to MeVisLab ]] (Scheherazade Kraß (Shery), Junichi Tokuda, Longquan Chen, )

== Craniofacial ==
* [[2017 Winter Project Week/Web-based system to federate biological, clinical and morphological data | Web-based system to federate biological, clinical and morphological data]] (Juan Carlos Prieto, Clément Mirabel)

== Infrastructure ==
* [[2017 Winter Project Week/Slicer Qt5 and Python3 | Slicer Qt5 and Python3]] (Steve Pieper, Jean-Christophe Fillion-Robin, Andras Lasso, Andrey Fedorov)
* [[2017 Winter Project Week/SlicerDMRIDocumentationAndTesting | SlicerDMRI Testing and Documentation]] (Isaiah Norton, Fan Zhang, Shun Gong, Ye Wu, Lauren J. O'Donnell)
* [[2017 Winter Project Week/SubjectHierarchyRefactoring | Subject hierarchy refactoring]] (Csaba Pinter)
* [[2017 Winter Project Week/IPFS_NoSQL_Combination | IPFS and NoSQL for cloud databases]] (Hans Meine, Steve Pieper)
* [[2017 Winter Project Week/DiPy_in_Slicer | DiPy integration in Slicer]] (Isaiah Norton, Lauren J. O'Donnell)

== DICOM ==
* [[2017 Winter Project Week/dcmqi | dcmqi library and DICOM QuantitativeReporting]] (Andrey Fedorov, Christian Herz, JC, Steve Pieper)

==To be Categorized==

* [[2017 Winter Project Week/HyperspectralOpht | Slicer for Hyperspectral Ophthalmology Analysis ]] (Sungmin Hong)
* [[2017 Winter Project Week/SlicerShape | Slicer for Shape Analysis ]] (Beatriz Paniagua)
* [[2017 Winter Project Week/SlicerGeometryModifier | Slicer support for interactive modification of 3D models ]] (Johan Andruejol, Beatriz Paniagua)
* [[2017 Winter Project Week/Plastimatch19 | Upgrade Plastimatch extension ]] (Greg Sharp)
* [[2017 Winter Project Week/PyRadiomics | PyRadiomics library ]] (Joost van Griethuysen, Hugo Aerts, Andrey Fedorov, Steve Pieper, Jean-Christope Fillion-Robin)
* [[2017 Winter Project Week/LORDWI | Testing of density-based DMRI registration ]] (Henrik Groenholt Jensen, Lauren J. O'Donnell, Tina Kapur, Fan Zhang, Carl-Frederik Westin)

= '''Registrants''' =

Do not add your name to this list - it is maintained by the organizers based on your paid registration. To register, visit this [https://www.regonline.com/2017projectweek registration site].

# A, Zeina :: SHBOUL
# Aerts, Hugo :: DFCI-Harvard
# Alam, Mahbubul :: Old Dominion University
# Anderson, Peter :: Retired
# Andruejol, Johan :: Kitware, Inc.
# Bakeng, Janne Beate :: SINTEF
# Beers, Andrew :: Massachusetts General Hospital
# Bernal Rusiel, Jorge Luis :: Boston Children's Hospital
# Bremer, Erich :: Stony Brook University
# Cetin Karayumak, Suheyla :: Brigham and Women's Hospital
# Chae, Michael :: Monash University
# Chauvin, Laurent :: ETS
# Dalca, Adrian :: Massachusetts Institute of Technology
# Fedorov, Andriy :: Brigham and Women's Hospital
# Fillion-Robin, Jean-Christophe :: Kitware, Inc.
# Girault, Alexis :: Kitware, Inc.
# Golland, Polina :: Massachusetts Institute of Technology
# Gollub, Randy :: Massachusetts General Hospital
# Gong, Shun :: Brigham and Women's Hospital
# Guerrier de Dumast, Priscille :: University of Michigan
# Harris, Gordon :: Massachusetts General Hospital
# Herz, Christian :: Brigham and Women's Hospital
# Hong, Sungmin :: New York University
# Hosny, Ahmed :: Dana-Farber
# Jagadeesan, Jayender :: Brigham and Women's Hospital
# Kapur, Tina :: Brigham and Women's Hospital
# Kikinis, Ron :: Brigham and Women's Hospital
# Lisle, Curtis :: KnowledgeVis, LLC
# Mastrogiacomo, Katie :: Brigham and Women's Hospital
# Mateus, D. :: TUM
# Mehrtash, Alireza :: Brigham and Women's Hospital
# Meine, Hans :: University of Bremen
# Meyer, Anneke :: University of Magdeburg
# Miller, James :: GE Research
# Mirabel, Clement :: University of Michigan
# Nitsch, Jennifer :: University of Bremen
# Norton, Isaiah :: Brigham and Women's Hospital
# O'Donnell, Lauren :: Brigham and Women's Hospital
# Oram, Louise :: The Intervention Centre-Oslo University Hospital
# Paniagua, Beatriz :: Kitware, Inc.
# Parmar, Chintan :: DFCI-Harvard Medical School
# Peled, Sharon :: Brigham and Women's Hospital
# Pieper, Steve :: Isomics, Inc.
# Pinter, Csaba :: Queen's University
# Preiswerk, Frank :: Brigham and Women's Hospital/Harvard Medical School
# Pujol, Sonia :: Brigham and Women's Hospital/Harvard Medical School
# Rankin, Adam :: Robarts Research Institute
# Rheault, Francois :: Université de Sherbrooke
# Sharp, Gregory :: Massachusetts General Hospital
# Sridharan, Patmaa :: University of Pennsylvania-CBICA
# Vidyaratne, Lasitha :: Old Dominion University
# Ye, Wu :: Brigham and Women's Hospital
# Zeleznik, Roman :: DFCI
# Zhang, Fan :: Brigham and Women's Hospital
# Zhang, Miaomiao :: Massachusetts Institute of Technology
# Ziegler, Erik :: Open Health Imaging Foundation/Mass General Hospital