Difference between revisions of "Engineering:Project:Non-rigid EPI registration"

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'''Project'''<nowiki>: Non-rigid EPI registration using ITK </nowiki>
 
'''Project'''<nowiki>: Non-rigid EPI registration using ITK </nowiki>
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Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:MGH|MGH Algorithms]]
  
 
'''Use case'''<nowiki>: 'I'd like to be able to register an EPI image to a conventional structural image. This will help correct for the distortions in EPI images, and help me use tools which have been developed for conventional structural images' - Saykin </nowiki>
 
'''Use case'''<nowiki>: 'I'd like to be able to register an EPI image to a conventional structural image. This will help correct for the distortions in EPI images, and help me use tools which have been developed for conventional structural images' - Saykin </nowiki>

Revision as of 20:30, 20 September 2007

Home < Engineering:Project:Non-rigid EPI registration

Project: Non-rigid EPI registration using ITK 

Back to NA-MIC_Collaborations, MGH Algorithms

Use case: 'I'd like to be able to register an EPI image to a conventional structural image. This will help correct for the distortions in EPI images, and help me use tools which have been developed for conventional structural images' - Saykin

Impact: Medium (Saykin)

Difficulty: Medium (Tuch)

Project summary slide

Vision: Software tool which can perform robust non-rigid, intrasubject registration between an EPI image and a conventional structural image.

Goal: Identify optimal ITK method and parameter settings for non-rigid intrasubject registration of T2 EPI to T1 conventional. Provide software devliverable.

Test Data: We'll look at all 6 healthy individuals from the Dartmouth data set. [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/DTIdata 

DTI data] and [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/SPGRdata

conventional data].

Team members: Snyder, Jen, Tuch, Ibanez


Win conditions:

Kitware: Demonstration of advantages of ITK solution. Practical implementation towards DBP.

MGH: Guidance on optimal use of ITK non-rigid registration functions

Dartmouth: Software deliverable


Most probable failure modes:

  • Loss of traction
  • Insufficient accuracy
  • Ambiguous accuracy results (E.g., registration performance inconsistent across subjects or regions)

Steps:

  1. Requirements extraction (Tuch/Saykin): done
  2. Create Wiki project page (Tuch): done
  3. Create directory on NAMIC sandbox (Ibanez): done
  4. Transfer test images (Snyder): done
  5. Implement rigid registration method (Snyder/Ibanez): done
  6. Implement deformable method (Snyder/Jen): done
  7. Write test engine (Snyder/Jen): in progress
  8. Evaluate registration performance (Snyder/Jen/Ibanez/Saykin): queued
  9. Software deliverable (Snyder/Jen): queued

Statistical power benefit of ITK nonlinear registration

  • Use case: 'Evaluate benefit of using ITK nonlinear registration for group FA comparisons'
  • Difficulty: Low-Medium
  • Impact: Medium
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