Study of Connectivity in the Brain Using the Full Diffusion Tensor from MRI
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Distributed Anatomical Brain Connectivity Derived from Diffusion Tensor Imaging
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Enhanced Spatial Priors for Segmentation of Magnetic Resonance Imagery
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Image Processing for Diffusion Tensor Magnetic Resonance Imaging
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Quantifying Human Brain Connectivity from Diffusion Tensor MRI
Journal of Mathematical Imaging and Vision
Stochastic DT-MRI Connectivity Mapping on the GPU
IEEE Transactions on Visualization and Computer Graphics
Neural Tractography Using an Unscented Kalman Filter
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Two-Tensor Tractography Using a Constrained Filter
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Probabilistic fiber tracking using particle filtering
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Probabilistic fiber tracking using particle filtering and von Mises-Fisher sampling
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
DTIWeb: a web-based framework for DTI data visualization and processing
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
A geometry-based particle filtering approach to white matter tractography
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Network connectivity via inference over curvature-regularizing line graphs
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Uncertainty in white matter fiber tractography
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
MR diffusion-based inference of a fiber bundle model from a population of subjects
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Fiber tracking in q-ball fields using regularized particle trajectories
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Fast and accurate connectivity analysis between functional regions based on DT-MRI
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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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 propagation 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).