Mustafa Okan Irfanoglu1,2, Amritha Nayak1,2, Jeffrey Jenkins1,2, Elizabeth B Hutchinson1,2, Neda Sadeghi1, Cibu P Thomas1,3, and Carlo Pierpaoli1
1NICHD, NIH, Bethesda, MD, United States, 2Henry Jackson Foundation, Bethesda, MD, United States, 3CNRM, Bethesda, MD, United States
Spatial alignment of diffusion tensor MRI data is of
fundamental importance for voxelwise statistical anaysis and creation of population specific atlases of diffusion MRI metrics. In this work, we
propose DR-TAMAS, a novel diffusion tensor imaging
registration method which uses a spatially varying metric to achieve accurate alignment not in only in white matter but also
in gray matter and CSF filled regions. Our tests indicate that DR-TAMAS shows excellent overall performance in the entire brain, while being
equivalent to the best existing methods in white matter.