View source for Engineering:Project:Non-rigid EPI registration

'''Project'''<nowiki>: Non-rigid EPI registration using ITK </nowiki>

 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>

'''Impact'''<nowiki>: Medium (Saykin) </nowiki>

'''Difficulty'''<nowiki>: Medium (Tuch) </nowiki>

[[Media:2006_AHM_Programming_Half_Week_Non-rigid_EPI_registration.ppt| Project summary slide]]

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

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

'''Test Data'''<nowiki>: We'll look at all 6 healthy individuals from the Dartmouth data set. [</nowiki>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'''<nowiki>: Snyder, Jen, Tuch, Ibanez </nowiki>

<br />'''Win conditions'''<nowiki>: </nowiki>

'''Kitware'''<nowiki>: Demonstration of advantages of ITK solution. Practical implementation towards DBP. </nowiki>

'''MGH'''<nowiki>: Guidance on optimal use of ITK non-rigid registration functions </nowiki>

'''Dartmouth'''<nowiki>: Software deliverable </nowiki>

<br />'''Most probable failure modes'''<nowiki>: </nowiki>

* Loss of traction

* Insufficient accuracy

* Ambiguous accuracy results (E.g., registration performance inconsistent across subjects or regions)

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'''Steps'''<nowiki>: </nowiki>

# Requirements extraction (Tuch/Saykin): '''done'''
# Create Wiki project page (Tuch): '''done'''
# Create directory on NAMIC sandbox (Ibanez): '''done'''
# Transfer test images (Snyder): '''done'''
# Implement rigid registration method (Snyder/Ibanez): '''done'''
# Implement deformable method (Snyder/Jen): '''done'''
# Write test engine (Snyder/Jen): '''in progress'''
# Evaluate registration performance (Snyder/Jen/Ibanez/Saykin): '''queued'''
# Software deliverable (Snyder/Jen): '''queued'''

Statistical power benefit of ITK nonlinear registration 

* '''Use case'''<nowiki>: 'Evaluate benefit of using ITK nonlinear registration for group FA comparisons' </nowiki>
* Difficulty: Low-Medium
* Impact: Medium