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

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'''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]]
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= Non-rigid EPI registration using ITK =
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= Description =
  
 
'''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>
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  DTI data] and [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/SPGRdata
 
  DTI data] and [https://portal.nbirn.net/BIRN/cgi-bin/DataGrid/browse.cgi?browseloc=/home/Projects/NAMIC__0003/Files/Dartmouth/HealthyControls6/SPGRdata
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conventional data].
  
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conventional data].
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= Key Investigators =
  
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'''Team members'''<nowiki>: Snyder, Jen, Tuch, Ibanez </nowiki>
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Snyder, Jen, Tuch, Ibanez  
  
 
<br />'''Win conditions'''<nowiki>: </nowiki>
 
<br />'''Win conditions'''<nowiki>: </nowiki>
  
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'''Kitware'''<nowiki>: Demonstration of advantages of ITK solution. Practical implementation towards DBP. </nowiki>
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''Kitware''<nowiki>: Demonstration of advantages of ITK solution. Practical implementation towards DBP. </nowiki>
  
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'''MGH'''<nowiki>: Guidance on optimal use of ITK non-rigid registration functions </nowiki>
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''MGH''<nowiki>: Guidance on optimal use of ITK non-rigid registration functions </nowiki>
  
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'''Dartmouth'''<nowiki>: Software deliverable </nowiki>
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''Dartmouth''<nowiki>: Software deliverable </nowiki>
  
 
<br />'''Most probable failure modes'''<nowiki>: </nowiki>
 
<br />'''Most probable failure modes'''<nowiki>: </nowiki>
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'''Steps'''<nowiki>: </nowiki>
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''Steps''<nowiki>: </nowiki>
  
 
# Requirements extraction (Tuch/Saykin): '''done'''
 
# Requirements extraction (Tuch/Saykin): '''done'''
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# Evaluate registration performance (Snyder/Jen/Ibanez/Saykin): '''queued'''
 
# Evaluate registration performance (Snyder/Jen/Ibanez/Saykin): '''queued'''
 
# Software deliverable (Snyder/Jen): '''queued'''
 
# Software deliverable (Snyder/Jen): '''queued'''
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Statistical power benefit of ITK nonlinear registration
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* ''Use case''<nowiki>: 'Evaluate benefit of using ITK nonlinear registration for group FA comparisons' </nowiki>
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* Difficulty: Low-Medium
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* Impact: Medium
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= Publications =
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= Links =

Latest revision as of 04:24, 26 November 2007

Home < Engineering:Project:Non-rigid EPI registration
Back to NA-MIC_Collaborations, MGH Algorithms

Non-rigid EPI registration using ITK

Description

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].

Key Investigators

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

Publications

Links

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