Engineering:Project:Non-rigid EPI registration
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Non-rigid EPI registration using ITK
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)
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
Snyder, Jen, Tuch, Ibanez
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)
- 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: 'Evaluate benefit of using ITK nonlinear registration for group FA comparisons'
- Difficulty: Low-Medium
- Impact: Medium