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Proceedings Paper

Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging
Author(s): Kurt G. Schilling; Vishwesh Nath; Justin Blaber; Robert L. Harrigan; Zhaohua Ding; Adam W. Anderson; Bennett A. Landman
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Paper Abstract

High-angular-resolution diffusion-weighted imaging (HARDI) MRI acquisitions have become common for use with higher order models of diffusion. Despite successes in resolving complex fiber configurations and probing microstructural properties of brain tissue, there is no common consensus on the optimal b-value and number of diffusion directions to use for these HARDI methods. While this question has been addressed by analysis of the diffusion-weighted signal directly, it is unclear how this translates to the information and metrics derived from the HARDI models themselves. Using a high angular resolution data set acquired at a range of b-values, and repeated 11 times on a single subject, we study how the b-value and number of diffusion directions impacts the reproducibility and precision of metrics derived from Q-ball imaging, a popular HARDI technique. We find that Q-ball metrics associated with tissue microstructure and white matter fiber orientation are sensitive to both the number of diffusion directions and the spherical harmonic representation of the Q-ball, and often are biased when under sampled. These results can advise researchers on appropriate acquisition and processing schemes, particularly when it comes to optimizing the number of diffusion directions needed for metrics derived from Q-ball imaging.

Paper Details

Date Published: 24 February 2017
PDF: 7 pages
Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330N (24 February 2017); doi: 10.1117/12.2254545
Show Author Affiliations
Kurt G. Schilling, Vanderbilt Univ. (United States)
Vishwesh Nath, Vanderbilt Univ. (United States)
Justin Blaber, Vanderbilt Univ. (United States)
Robert L. Harrigan, Vanderbilt Univ. (United States)
Zhaohua Ding, Vanderbilt Univ. (United States)
Adam W. Anderson, Vanderbilt Univ. (United States)
Bennett A. Landman, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 10133:
Medical Imaging 2017: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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