Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI

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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).

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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}
}                                             

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