Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Robust monte carlo methods for light transport simulation
Robust monte carlo methods for light transport simulation
Stochastic DT-MRI Connectivity Mapping on the GPU
IEEE Transactions on Visualization and Computer Graphics
Cortical Correspondence with Probabilistic Fiber Connectivity
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
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In this work we address the uncertainty associated with fiber paths obtained in white matter fiber tractography. This uncertainty, which arises for example from noise and partial volume effects, is quantified using a Bayesian modeling framework. The theory for estimating the probability of a connection between two areas in the brain is presented, and a new model of the local water diffusion profile is introduced. We also provide a theorem that facilitates the estimation of the parameters in this diffusion model, making the presented method simple to implement.