Difference between revisions of "Project Week/Template"

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Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]]
 
Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]]
 
</gallery>
 
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==Instructions for Use of this Template==
 
#Please create a new wiki page with an appropriate title for your project using the convention 2013_Summer_Project_Week:<Project Name>
 
#Copy the entire text of this page into the page created above
 
#Link the created page into the list of projects for the project event
 
#Delete this section from the created page
 
#Send an email to tkapur at bwh.harvard.edu if you are stuck
 
  
 
==Key Investigators==
 
==Key Investigators==
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
  
Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below.  The main challenge to this approach is <foo>.
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Discuss with Jc and Steve regarding how to incorporate into Slicer. Currently it
 
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is used as a downloadable library during superbuild, similar to SlicerExecutionModel.
Our plan for the project week is to first try out <bar>,...
 
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|DTI Software Infrastructure]] project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.
 
 
  
 
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Latest revision as of 03:03, 18 June 2013

Home < Project Week < Template

Key Investigators

  • GRC: Rui Li, Jim Miller
  • Kitware: Jean-Christophe Fillion-Robin
  • Isomics: Steve Pieper

Objective

Python embedding library to manage calling python functions from C++. This will eliminate the code duplication in Slicer.




Approach, Plan

Discuss with Jc and Steve regarding how to incorporate into Slicer. Currently it is used as a downloadable library during superbuild, similar to SlicerExecutionModel.

Progress

Delivery Mechanism

https://github.com/grclirui/PythonCppAPI.git