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.
This work was supported by NIH NIBIB NAMIC U54-EB005149, NIH NCRR NAC P41-RR13218, R01-MH074794 and the Athinoula A. Martinos Foundation. We are grateful to Susumu Mori at JHU for the diffusion MRI data (R01-AG20012 / P41-RR15241) and Serdar Balci for the ITK help.
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Keywords
- Fiber Bundle
- White Matter Tract
- Orientation Distribution Function
- Nonlinear Algorithm
- Nonlinear Registration
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References
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Ziyan, U., Sabuncu, M.R., O’Donnell, L.J., Westin, CF. (2007). Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles. In: Ayache, N., Ourselin, S., Maeder, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. MICCAI 2007. Lecture Notes in Computer Science, vol 4791. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75757-3_43
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