Difference between revisions of "2013 Project Week:PythonModules"

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Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]]
 
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Image:ScarSeg_EM.png‎| Scar tissue identification.
 
 
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==Key Investigators==
 
==Key Investigators==
  
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* LiangJia Zhu, Allen Tannenbaum, UAB
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* Dave Welch, UIowa SENAP
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* Yi Gao, BWH
 
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* Josh Cates, Rob MacLeod, SCI
 
  
 
==Project Description==
 
==Project Description==
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<h3>Objective</h3>
 
<h3>Objective</h3>
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* We are developing methods for identifying scar tissue from CARMA data. Our previous method demonstrates an effective identification ability for DE-MRI data. In this method, the intensity distribution inside the LA myocardial wall is modeled as a mixture of Gaussians. To improve the performance of this method, we will integrate the intensity information from the LA chamber into the overall identification procedure.  
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* Adding Python modules into the Slicer environment is currently cumbersome and difficult to do. With the growth of Python as a scientific research tool, Slicer should provide an easy mechanism for inclusion of Python modules on the fly.
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* We will discuss possible improvements for scar identification.  
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* We will discuss with lead Slicer developers how to best implement a user-friendly approach to improve Python importing.  Our work will be tested and documented on the Slicer wiki.  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
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* Design an identification scheme using the LA intensity as a prior
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* Discussions with JC, Steve, Andrey, and interested Python programmers
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* Test the method using CARMA data
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* Document best approaches
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* Deliver the implementation in CLI module.
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* Implement work in Slicer 4.3
 
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Revision as of 15:55, 7 January 2013

Home < 2013 Project Week:PythonModules

Key Investigators

  • Dave Welch, UIowa SENAP

Project Description

Objective

  • Adding Python modules into the Slicer environment is currently cumbersome and difficult to do. With the growth of Python as a scientific research tool, Slicer should provide an easy mechanism for inclusion of Python modules on the fly.
  • We will discuss with lead Slicer developers how to best implement a user-friendly approach to improve Python importing. Our work will be tested and documented on the Slicer wiki.

Approach, Plan

  • Discussions with JC, Steve, Andrey, and interested Python programmers
  • Document best approaches
  • Implement work in Slicer 4.3

Progress

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