Difference between revisions of "2014 Project Week:TBISegmentation"

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<h3>Objective</h3>
 
<h3>Objective</h3>
* Developing a pipeline using Slicer modules for the input of the TBI segmentation algorithm.  
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* Develop a pipeline combining our TBI segmentation algorithm with other Slicer modules.
* We intend to spend some time on user study about human experts manual segmentation.
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* Study and gain understanding of the manual process for segmenting TBI
* Testing the algorithm and getting feedback from USC team.  
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* Test the algorithm with users from USC.  
  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Testing to use Slicer registration module for intra and inter time points coregistration
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* Wrap existing code into a Slicer extension
* Testing to use Slicer registration module for initial atlas alignment
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* Determine approaches for user interaction for semi-automatic segmentation segmentation.
* Testing to use Slicer skull stripping module to generate initial brain mask  
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* Test and evaluate Slicer modules for TBI processing:
* Conducting user studies about human experts manual segmentation
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** Intra and inter time points coregistration
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** Initial atlas alignment using affine transformation
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** Skull stripping to obtain initial brain mask  
 
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== Reference ==
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* [http://www.nitrc.org/projects/parser_4d 4D-PARSeR (Pathological Anatomy Regression via Segmentation and Registration)]

Revision as of 14:24, 6 January 2014

Home < 2014 Project Week:TBISegmentation

Key Investigators

  • GE: Marcel Prastawa
  • Utah: Bo Wang, Guido Gerig
  • USC: Andrei Irimia, Jack Van Horn


Project Description

Objective

  • Develop a pipeline combining our TBI segmentation algorithm with other Slicer modules.
  • Study and gain understanding of the manual process for segmenting TBI
  • Test the algorithm with users from USC.

Approach, Plan

  • Wrap existing code into a Slicer extension
  • Determine approaches for user interaction for semi-automatic segmentation segmentation.
  • Test and evaluate Slicer modules for TBI processing:
    • Intra and inter time points coregistration
    • Initial atlas alignment using affine transformation
    • Skull stripping to obtain initial brain mask

Progress

Reference