Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling

Abstract

This paper presents a novel and fast probabilistic method for white matter fiber tracking from diffusion weighted magnetic resonance imaging (DWI). We formulate fiber tracking on a nonlinear state space model which is able to capture both smoothness regularity of fibers and uncertainties of the local fiber orientations due to noise and partial volume… (More)
DOI: 10.1007/978-3-540-74198-5_24

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