Abstract #1162

DR-TAMAS: Diffeomorphic Registration for Tensor Accurate alignMent of Anatomical Structures

Mustafa Okan Irfanoglu^1,2, Amritha Nayak^1,2, Jeffrey Jenkins^1,2, Elizabeth B Hutchinson^1,2, Neda Sadeghi¹, Cibu P Thomas^1,3, 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.

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