A Bayesian method with reparameterization for diffusion tensor imaging

Diwei Zhou; Ian L. Dryden; Alexey Koloydenko; Bai Li

doi:10.1117/12.771697

19 March 2008 A Bayesian method with reparameterization for diffusion tensor imaging

Diwei Zhou, Ian L. Dryden, Alexey Koloydenko, Bai Li

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69142J (2008) https://doi.org/10.1117/12.771697
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

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.

Citation Download Citation

Diwei Zhou, Ian L. Dryden, Alexey Koloydenko, and Bai Li "A Bayesian method with reparameterization for diffusion tensor imaging", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69142J (19 March 2008); https://doi.org/10.1117/12.771697

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available