Consider a problem where TBSS has been run without ROI analysis. Now the user wants to know tract statistics over a random ROI defining image e.g. ENIGMA, FMRIB, JHU label map.
In the current design, we require the user to provide a space-defining image of the skeleton. The template used in the above TBSS is registered to the space of the skeleton. Finally, antsApplyTransforms performs two transforms to warp the FAs from:
subject-->template-->labelmap sapce
Since antsApplyTransforms accepts multiple -t flag, interpolation is done only once which is a good thing. Regardless, instead of doing the two transformations, a more efficient approach can be to warp the label map to template space. Thus, we get away with only one warping of all FAs:
subject-->template
And perform just one additional warping of the label map.
Consider a problem where TBSS has been run without ROI analysis. Now the user wants to know tract statistics over a random ROI defining image e.g. ENIGMA, FMRIB, JHU label map.
In the current design, we require the user to provide a space-defining image of the skeleton. The template used in the above TBSS is registered to the space of the skeleton. Finally,
antsApplyTransformsperforms two transforms to warp the FAs from:Since
antsApplyTransformsaccepts multiple-tflag, interpolation is done only once which is a good thing. Regardless, instead of doing the two transformations, a more efficient approach can be to warp the label map to template space. Thus, we get away with only one warping of all FAs:And perform just one additional warping of the label map.