Empirical Estimation of Intra-Voxel Structure with Persistent Angular Structure and Q-ball Models of Diffusion Weighted MRI

The diffusion tensor model is non-specific in regions where micrometer structural patterns are inconsistent at the millimeter scale (i.e., brain regions with pathways that cross, bend, branch, fan, etc.). Numerous models have been proposed to represent crossing fibers and complex intra-voxel structu...

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Bibliographic Details
Main Author: Nath, Vishwesh
Other Authors: Dr.Bennett A. Landman
Format: Others
Language:en
Published: VANDERBILT 2017
Subjects:
Online Access:http://etd.library.vanderbilt.edu/available/etd-03312017-104141/
Description
Summary:The diffusion tensor model is non-specific in regions where micrometer structural patterns are inconsistent at the millimeter scale (i.e., brain regions with pathways that cross, bend, branch, fan, etc.). Numerous models have been proposed to represent crossing fibers and complex intra-voxel structure from in vivo diffusion weighted magnetic resonance imaging (e.g., high angular resolution diffusion imaging â HARDI). Here, we present an empirical comparison of two HARDI approaches â persistent angular structure MRI (PAS-MRI) and Q-ball â using a newly acquired reproducibility dataset. Briefly, a single subject was scanned 11 times with 96 diffusion weighted directions and 10 reference volumes for each of two b-values (1000 and 3000 s/mm2 for a total of 2144 volumes). Empirical reproducibility of intra-voxel fiber fractions (number/strength of peaks), angular orientation, and fractional anisotropy was compared with metrics from a traditional tensor analysis approach, focusing on b-values of 1000 s/mm2 and 3000 s/mm2. PAS-MRI is shown to be more reproducible than Q-ball and offers advantages at low b-values. However, there are substantial and biologically meaningful differences between the intra-voxel structures estimated both in terms of analysis method as well as by b-value. Hence, it is premature to perform meta-analysis or combine results across HARDI studies using different analysis model or acquisition sequences.