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Proposal Instead of doing whole brain nonlinear registration, only register a cropped region – Previously we used a template to speed the registration.

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Presentation on theme: "Proposal Instead of doing whole brain nonlinear registration, only register a cropped region – Previously we used a template to speed the registration."— Presentation transcript:

1 Proposal Instead of doing whole brain nonlinear registration, only register a cropped region – Previously we used a template to speed the registration step How do we determine the cropped region automatically?

2 ROI Estimation We want an estimate of the whole thalamus – Can be conservative as we just want to crop a big enough region Whole brain affine linear registration of priors’ whole thalamus, then label fusion – In ANTS: maximum (very conservative), majority vote, STAPLE, correlation vote – STEPS or PICSL? Use cross-validation to test 4 different methods

3 Registration Register cropped priors to cropped image – The cropped image is taken as the ROI estimate with a padding of 4 (2 on each side) – The cropped priors are taken as the true whole thalamus ROI with a padding of 24 Larger to avoid missing data being warped into the region after registration Arbitrary padding amount, tried 10, wasn’t enough ANTS options – Fixed space mask – Starting point affine transform – Continue affine transform

4 Registration There are thus 6 permutations of ANTS options per ROI estimate – With or without a fixed space mask (ROI estimate), i.e. whole cropped region registration or limited to the ROI – With or without affine transform determined from whole brain registration – Continue or don’t continue the affine registration search

5 Cross-Validation Perform 20*19 whole brain affine registrations – Takes 5-10min on 20*16-cores Perform 20*19*4*6 cropped nonlinear registrations – Takes 1-2hrs with cropped region and 20*16-cores Probably <30min total pipeline once we pick the best registration method

6 Comparison of ROI Estimates Since coverage is our primary objective at this stage, maximum seems to be the clear winner

7 Comparison of Registration Quality

8 Targeted Registration Correlation and majority voting provide a better estimate of the thalamus – Let’s try telling the registration to target those ROIs instead within the maximum-based crop Using the maximum-based ROI is (still) the best – More important to cover all thalamus voxels with the registration than to be fine tuned on where the thalamus is exactly – Plausible as it could permit crazy things happening outside the ROI

9 Registration Quality of 915 to ctrl_902 Actual Box Box Affine ROI[maximum]ROI[correlation]


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