Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI


M. Björnemo, A. Brun, R. Kikinis, C.-F. Westin
MICCAI'02, Tokyo, Japan
Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'02)
Pages 435-442
2002

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Summary

The development of Diffusion Tensor MRI has raised hopes in the neuro-science community for in vivo methods to track fiber paths in the white matter. A number of approaches have been presented, but there are still several essential problems that need to be solved. In this paper a novel fiber propaga-tion model is proposed, based on stochastics and regularization, allowing paths originating in one point to branch and return a probability distribution of possible paths. The proposed method utilizes the principles of a statistical Monte Carlo method called Sequential Importance Sampling and Resampling (SISR).



Reference

Björnemo M, Brun A, Kikinis R, Westin CF. Regularized stochastic white matter tractography using diffusion tensor MRI. In Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'02). Tokyo, Japan, 2002;435-442.

Bibtex entry

@InProceedings{bjornemoMICCAI02,
  author         = {M. Bj\"ornemo and A. Brun and R. Kikinis and C.-F. Westin},
  title          = {Regularized Stochastic White Matter Tractography Using     
                   Diffusion  Tensor {MRI}},                                   
  booktitle      = {Fifth International Conference on Medical Image Computing  
                   and  Computer-Assisted Intervention (MICCAI'02)},           
  pages          = {435--442},                                                 
  year           = 2002,                                                       
  address        = {Tokyo, Japan}
}                                             

Grants

CIMIT, NIH P41-RR13218 (NAC)

Research areas

DTMRI, Tensor

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