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Cited by 58Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Mapping the orientation of white matter fiber bundles: a comparative study of diffusion tensor imaging, diffusional kurtosis imaging, and diffusion spectrum imaging.

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Glenn, G. R., Kuo, L.- W., Chao, Y.- P., Lee, C.- Y., Helpern, J. A., Jensen, J. H.·2016·American Journal of Neuroradiology
DOI 10.3174/ajnr.a4714PMC PMC4946981
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Abstract

BACKGROUND AND PURPOSE: White matter fiber tractography relies on fiber bundle orientation estimates from diffusion MR imaging. However, clinically feasible techniques such as DTI and diffusional kurtosis imaging use assumptions, which may introduce error into in vivo orientation estimates. In this study, fiber bundle orientations from DTI and diffusional kurtosis imaging are compared with diffusion spectrum imaging as a criterion standard to assess the performance of each technique. MATERIALS AND METHODS: For each subject, full DTI, diffusional kurtosis imaging, and diffusion spectrum imaging datasets were acquired during 2 independent sessions, and fiber bundle orientations were estimated by using the specific theoretic assumptions of each technique. Angular variability and angular error measures were assessed by comparing the orientation estimates. Tractography generated with each of the 3 reconstructions was also examined and contrasted. RESULTS: Orientation estimates from all 3 techniques had comparable angular reproducibility, but diffusional kurtosis imaging decreased angular error throughout the white matter compared with DTI. Diffusion spectrum imaging and diffusional kurtosis imaging enabled the detection of crossing-fiber bundles, which had pronounced effects on tractography relative to DTI. Diffusion spectrum imaging had the highest sensitivity for detecting crossing fibers; however, the diffusion spectrum imaging and diffusional kurtosis imaging tracts were qualitatively similar. CONCLUSIONS: Fiber bundle orientation estimates from diffusional kurtosis imaging have less systematic error than those from DTI, which can noticeably affect tractography. Moreover, tractography obtained with diffusional kurtosis imaging is qualitatively comparable with that of diffusion spectrum imaging. Because diffusional kurtosis imaging has a shorter typical scan time than diffusion spectrum imaging, diffusional kurtosis imaging is potentially more suitable for a variety of clinical and research applications.

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  • DKI data acquired using conventional hardware and reasonable scan times can resolve crossing fibers significantly better than conventional DTI.

    “DKI data acquired using conventional hardware and reasonable scan times can resolve crossing fibers significantly better than conventional DTI (Glenn et al., 2016)”

    From Potential Pitfalls of Using Fractional Anisotropy, Axial Diffusivity, and Radial Diffusivity as Biomarkers of Cerebral White Matter Microstructure (2022) · cites this paper as Glenn et al., 2016

    The Conclusion (page unavailable) says DKI directly resolves crossing fibers and improves tractography accuracy relative to DTI; the Methods report use of a 3T MRI system. However, the Discussion says this study’s scan time was relatively long compared with typical clinical protocols. It cites shorter DKI protocols as feasible but does not establish the same crossing-fiber performance at those scan times. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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Authors
Glenn, G. R., Kuo, L. W., Chao, Y. P., Lee, C. Y., Helpern, J. A., & Jensen, J. H.
Affiliations
  • Medical University of South Carolina (US)
  • National Health Research Institutes (TW)
  • Chang Gung University (TW)
Corresponding author
  • Kuo, L.- W.
  • Jensen, J. H.
ORCID
Venue
American Journal of Neuroradiology
Publisher
American Society of Neuroradiology (ASNR)
Published
2016-03-03
Volume
37
Issue
7
Pages
1216-1222
ISSN
  • 0195-6108 (ISSN-L)
  • 1936-959X
DOI
10.3174/ajnr.a4714
PMC
PMC4946981
OpenAlex
W2307232592
Cited by
58
References
4
Citations by year
2026: 4 · 2025: 4 · 2024: 2 · 2023: 4 · 2022: 6 · 2021: 8 · 2020: 8 · 2019: 6 · 2018: 9 · 2017: 5 · 2016: 2
FWCI
6.37
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • American Journal of Neuroradiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Health Research Institutes
  • National Institutes of Health
  • National Institute of General Medical Sciences (T32GM008716)
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
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
diffusion tensor imaging, diffusion kurtosis imaging, diffusion spectrum imaging, fiber tractography, crossing fibers, angular error, diffusion MRI
MeSH terms
Brain Mapping, Humans, Image Processing, Computer-Assisted, Nerve Fibers, Reproducibility of Results, Anisotropy, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Healthy Volunteers, White Matter

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