Multi-fiber Estimation and Tractography for Diffusion MRI using mixture of Non-central Wishart Distributions
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Multi-compartmental models are popular to resolve intra-voxel fiber heterogeneity. One such model is the mixture of central Wishart distributions. In this paper, we use our recently proposed model to estimate the orientations of crossing fibers within a voxel based on mixture of non-central Wishart distributions. We present a thorough comparison of the results from other fiber reconstruction methods with this model. The comparative study includes experiments on a range of separation angles between crossing fibers, with different noise levels, and on real human brain diffusion MRI data. Furthermore, we present multi-fiber visualization results using tractography. Results on synthetic and real data as well as tractography visualization highlight the superior performance of the model specifically for small and middle ranges of separation angles among crossing fibers.
Description
@inproceedings{10.2312:vcbm.20171244,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
editor = {Stefan Bruckner and Anja Hennemuth and Bernhard Kainz and Ingrid Hotz and Dorit Merhof and Christian Rieder},
title = {{Multi-fiber Estimation and Tractography for Diffusion MRI using mixture of Non-central Wishart Distributions}},
author = {Shakya, Snehlata and Gu, Xuan and Batool, Nazre and Özarslan, Evren and Knutsson, Hans},
year = {2017},
publisher = {The Eurographics Association},
ISSN = {2070-5786},
ISBN = {978-3-03868-036-9},
DOI = {10.2312/vcbm.20171244}
}