Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles

Ulas Ziyan, Mert R. Sabuncu, Lauren J. O'Donnell, C.-F. Westin
Tenth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI '07)
Volume 4791, Pages 351-358
November, 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 bun- dles 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 transfor- mation. We demonstrate our algorithm on a group of subjects and show that it performs comparable to a higher dimensional nonrigid registration algorithm.

Reference

Ziyan U, Sabuncu MR, O'Donnell LJ, Westin CF. Nonlinear registration of diffusion mr images based on fiber bundles. In Tenth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI '07), volume 4791 of Lecture Notes in Computer Science. Brisbane, Australia, 2007;351-358.

Bibtex entry

@InProceedings{ziyanMICCAI07,
  author         = "Ulas Ziyan and Mert R. Sabuncu and Lauren J. O'Donnell and 
                   Carl-Fredrik Westin",                                       
  title          = "Nonlinear Registration of Diffusion MR Images Based on     
                   Fiber Bundles",                                             
  booktitle      = "Tenth International Conference on Medical Image Computing  
                   and Computer-Assisted  Intervention (MICCAI '07)",          
  month          = "November",                                                 
  year           = "2007",                                                     
  volume         = {4791},                                                     
  series         = "Lecture Notes in Computer Science",                        
  pages          = "351--358",                                                 
  address        = "Brisbane, Australia"}

Grants

NIH U54-EB005149 (NAMIC), NIH P41-RR13218 (NAC), NIH R01-MH074794, NIH R01-AG20012, NIH P41-RR15241