Cited by 403Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsMRI in cancer diagnosis

Determination of the appropriate b value and number of gradient directions for high‐angular‐resolution diffusion‐weighted imaging

Tournier, J.‐Donald, Calamante, Fernando, Connelly, Alan·2013·NMR in Biomedicine

Abstract

High‐angular‐resolution diffusion‐weighted imaging (HARDI) is one of the most common MRI acquisition schemes for use with higher order models of diffusion. However, the optimal b value and number of diffusion‐weighted (DW) directions for HARDI are still undetermined, primarily as a result of the large number of available reconstruction methods and corresponding parameters, making it impossible to identify a single criterion by which to assess performance. In this study, we estimate the minimum number of DW directions and optimal b values required for HARDI by focusing on the angular frequency content of the DW signal itself. The spherical harmonic (SH) series provides the spherical analogue of the Fourier series, and can hence be used to examine the angular frequency content of the DW signal. Using high‐quality data acquired along 500 directions over a range of b values, we estimate that SH terms above l = 8 are negligible in practice for b values up to 5000 s/mm 2 , implying that a minimum of 45 DW directions is sufficient to fully characterise the DW signal. l > 0 SH terms were found to increase as a function of b value, levelling off at b = 3000 s/mm 2 , suggesting that this value already provides the highest achievable angular resolution. In practice, it is recommended to acquire more than the minimum of 45 DW directions to avoid issues with imperfections in the uniformity of the DW gradient directions and to meet signal‐to‐noise requirements of the intended reconstruction method. Copyright © 2013 John Wiley & Sons, Ltd.

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  • Effects of tauopathy on DTI metrics in grey and white matter are complex and may involve axonal damage, myelin injury, neuronal degeneration, and gliosis, which all have been found in tauopathies.

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References 58 · Cited by 403

Authors
Tournier, J. ‐., Calamante, F., & Connelly, A.
Affiliations
The University of Melbourne (AU)
Corresponding author
Tournier, J.‐Donald
Venue
NMR in Biomedicine
Publisher
Wiley
Published
2013-08-29
Volume
26
Issue
12
Pages
1775-1786
ISSN
  • 0952-3480 (ISSN-L)
  • 1099-1492
OpenAlex
W2165020904
Cited by
403
References
58
Citations by year
2026: 15 · 2025: 32 · 2024: 36 · 2023: 33 · 2022: 41 · 2021: 53 · 2020: 39 · 2019: 44 · 2018: 34 · 2017: 23 · 2016: 17 · 2015: 24 · 2014: 11 · 2013: 1
FWCI
13.71
Type
journal article
Language
en
Open access
closed
Locations
  • NMR in Biomedicine (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
  • State Government of Victoria
  • Australian Research Council
  • National Health and Medical Research Council
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
Keywords
b-value optimization, spherical harmonic analysis, angular resolution
MeSH terms
Algorithms, Computer Simulation, Humans, Diffusion Magnetic Resonance Imaging, Signal-To-Noise Ratio

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