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Multi-fiber Estimation and Tractography for Diffusion MRI using mixture of Non-central Wishart Distributions
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
KTH, School of Technology and Health, Huddinge, Sweden.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2017.
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-140739DOI: 10.2312/vcbm.20171244ISBN: 978-3-03868-036-9 (print)OAI: oai:DiVA.org:liu-140739DiVA: diva2:1139945
Conference
Eurographics Workshop on Visual Computing for Biology and Medicine
Available from: 2017-09-11 Created: 2017-09-11 Last updated: 2017-09-18

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Gu, XuanÖzarslan, EvrenKnutsson, Hans
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Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
  • en-GB
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  • nn-NB
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More languages
Output format
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