We propose the use of the NTU-DSI-122 template as a flexible, diffusion specific, means of registering subject images to stereotaxic MNI-space for further analysis. This allows for registration to be performed based on matching white matter fiber orientation distributions, which create within tissue contrasts, unlike voxel intensity metrics. This advantage is demonstrated by observing the increased consistency of registration versus a leading intensity-based algorithm. The range of b-values present in the NTU-DSI-122 allows for tailoring to selectively register at b-values matching those acquired in an experimental cohort, providing flexibility for both single- and multi-shell acquisitions.
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