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

dc.creatorNath, Vishwesh
dc.date.accessioned2020-08-22T00:19:53Z
dc.date.available2019-04-05
dc.date.issued2017-04-05
dc.identifier.urihttps://etd.library.vanderbilt.edu/etd-03312017-104141
dc.identifier.urihttp://hdl.handle.net/1803/11875
dc.description.abstractThe 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 – HARDI). Here, we present an empirical comparison of two HARDI approaches – persistent angular structure MRI (PAS-MRI) and Q-ball – 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.
dc.format.mimetypeapplication/pdf
dc.subjectEmpirical
dc.subjectReproducibility
dc.subjectQ-ball
dc.subjectPAS-MRI
dc.subjectDW-MRI
dc.subjectHARDI
dc.titleEmpirical Estimation of Intra-Voxel Structure with Persistent Angular Structure and Q-ball Models of Diffusion Weighted MRI
dc.typethesis
dc.contributor.committeeMemberDr.Bennett A. Landman
dc.contributor.committeeMemberDr. Richard A. Peters
dc.type.materialtext
thesis.degree.nameMS
thesis.degree.levelthesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorVanderbilt University
local.embargo.terms2019-04-05
local.embargo.lift2019-04-05


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