%0 Journal Article
%J IEEE Trans Med Imaging
%D 2006
%T A Bayesian approach for stochastic white matter tractography
%A Friman, Ola
%A Farnebäck, Gunnar
%A Westin, Carl-Fredrik
%K Algorithms
%K Artificial Intelligence
%K Bayes Theorem
%K Brain
%K Computer Simulation
%K Diffusion Magnetic Resonance Imaging
%K Humans
%K Image Enhancement
%K Image Interpretation, Computer-Assisted
%K Imaging, Three-Dimensional
%K Information Storage and Retrieval
%K Models, Neurological
%K Models, Statistical
%K Nerve Fibers, Myelinated
%K Neural Pathways
%K Pattern Recognition, Automated
%K Reproducibility of Results
%K Sensitivity and Specificity
%K Stochastic Processes
%X White matter fiber bundles in the human brain can be located by tracing the local water diffusion in diffusion weighted magnetic resonance imaging (MRI) images. In this paper, a novel Bayesian modeling approach for white matter tractography is presented. The uncertainty associated with estimated white matter fiber paths is investigated, and a method for calculating the probability of a connection between two areas in the brain is introduced. The main merits of the presented methodology are its simple implementation and its ability to handle noise in a theoretically justified way. Theory for estimating global connectivity is also presented, as well as a theorem that facilitates the estimation of the parameters in a constrained tensor model of the local water diffusion profile.
%B IEEE Trans Med Imaging
%V 25
%P 965-78
%8 2006 Aug
%G eng
%N 8
%1 http://www.ncbi.nlm.nih.gov/pubmed/16894991?dopt=Abstract