6 March 2018 Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI
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Abstract
The diffusion tensor model is nonspecific 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 intravoxel 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 intravoxel 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 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 intravoxel structures estimated both in terms of analysis method as well as by b value. The two methods suggest a fundamentally different microarchitecture of the human brain; therefore, it is premature to perform meta-analysis or combine results across HARDI studies using a different analysis model or acquisition sequences.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2018/$25.00 © 2018 SPIE
Vishwesh Nath, Kurt G. Schilling, Prasanna Parvathaneni, Justin A. Blaber, Allison E. Hainline, Zhaohua Ding, Adam W. Anderson, and Bennett A. Landman "Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI," Journal of Medical Imaging 5(1), 014005 (6 March 2018). https://doi.org/10.1117/1.JMI.5.1.014005
Received: 27 February 2017; Accepted: 12 February 2018; Published: 6 March 2018
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Cited by 6 scholarly publications.
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KEYWORDS
Diffusion

Gold

Signal to noise ratio

Data modeling

Magnetic resonance imaging

Biological research

Brain

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