Nonlinear registration of diffusion MR images based on fiber bundles

Authors:
Ulas Ziyan;Mert R. Sabuncu;Lauren J. O'Donnell;Carl-Fredrik Westin
Affiliations:
MIT Computer Science and Artificial Intelligence Lab, Cambridge, MA;MIT Computer Science and Artificial Intelligence Lab, Cambridge, MA;Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA and Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, ...;MIT Computer Science and Artificial Intelligence Lab, Cambridge, MA and Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

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Abstract

In this paper, we explore the use of fiber bundles extracted from diffusion MR images for a nonlinear registration algorithm. We employ a white matter atlas to automatically label major fiber bundles and to establish correspondence between subjects. We propose a polyaffine framework to calculate a smooth and invertible nonlinear warp field based on these correspondences, and derive an analytical solution for the reorientation of the tensor fields under the polyaffine transformation. We demonstrate our algorithm on a group of subjects and show that it performs comparable to a higher dimensional nonrigid registration algorithm.