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A Bayesian method with reparameterization for diffusion tensor imaging - art. no. 69142J

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conference contribution
posted on 2015-03-25, 10:05 authored by Diwei ZhouDiwei Zhou, Ian L. Dryden, Alexey Koloydenko, Bai Li
A multi-tensor model with identifiable parameters is developed for diffusion weighted MR images. A new parameterization method guarantees the symmetric positive-definiteness of the diffusion tensor. We set up a Bayesian method for parameter estimation. To investigate properties of the method, Monte Carlo simulated data from three distinct DTI direction schemes have been analyzed. The multi-tensor model with automatic model selection has also been applied to a healthy human brain dataset. Standard tensor-derived maps are obtained when the single-tensor model is fitted to a region of interest with a single dominant fiber direction. High anisotropy diffusion flows and main diffusion directions can be shown clearly in the FA map and diffusion ellipsoid map. For another region containing crossing fiber bundles, we estimate and display the ellipsoid map under the single tensor and double-tensor regimes of the multi-tensor model, suitably thresholding the Bayes factor for model selection.

Funding

European Commission FP6 Human Resources and Mobility program

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Medical Imaging 2008 Conference MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3

Volume

6914

Pages

J9142 - J9142 (11)

Citation

ZHOU, D. ... et al., 2008. A Bayesian method with reparameterization for diffusion tensor imaging [69142J]. Medical Imaging 2008: Image Processing, 69142J (March 11, 2008); doi:10.1117/12.771697

Publisher

© Society of Photo-optical Instrumentation Engineers (SPIE)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2008

Notes

ZHOU, D. ... et al., 2008. A Bayesian method with reparameterization for diffusion tensor imaging [69142J]. Medical Imaging 2008: Image Processing, 69142J (March 11, 2008) http://dx.doi.org/10.1117/12.771697 Copyright 2008 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

ISBN

978-0-8194-7098-0

ISSN

0277-786X

Language

  • en

Location

San Diego, CA

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