Cited by 3,547Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsNMR spectroscopy and applications

Diffusion tensor imaging: Concepts and applications

Le Bihan, Denis, Mangin, Jean‐François, Poupon, Cyril, Clark, Chris A., Pappata, Sabina, Molko, Nicolas, Chabriat, Hughes·2001·Journal of Magnetic Resonance Imaging

Abstract

The success of diffusion magnetic resonance imaging (MRI) is deeply rooted in the powerful concept that during their random, diffusion‐driven displacements molecules probe tissue structure at a microscopic scale well beyond the usual image resolution. As diffusion is truly a three‐dimensional process, molecular mobility in tissues may be anisotropic, as in brain white matter. With diffusion tensor imaging (DTI), diffusion anisotropy effects can be fully extracted, characterized, and exploited, providing even more exquisite details on tissue microstructure. The most advanced application is certainly that of fiber tracking in the brain, which, in combination with functional MRI, might open a window on the important issue of connectivity. DTI has also been used to demonstrate subtle abnormalities in a variety of diseases (including stroke, multiple sclerosis, dyslexia, and schizophrenia) and is currently becoming part of many routine clinical protocols. The aim of this article is to review the concepts behind DTI and to present potential applications. J. Magn. Reson. Imaging 2001;13:534–546. © 2001 Wiley‐Liss, Inc.

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Crossref · 10.1002/jmri.1076

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  • Even where more sophisticated models are available, DTI often remains the first analytic layer because it provides a stable orientation field and familiar summary indices.

    “Even where more sophisticated models are available, DTI often remains the first analytic layer because it provides a stable orientation field and a familiar set of summary indices (Le Bihan et al., 2001).”

    From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan et al., 2001

  • Noise floor effects, Gibbs ringing, eddy currents, susceptibility distortions, and free-water partial volume can bias tensor estimates unless explicitly controlled.

    “Noise floor effects, Gibbs ringing, eddy currents, susceptibility distortions, and free-water partial volume can all bias tensor estimates unless explicitly controlled (Beaulieu, 2002; Le Bihan et al., 2001; Tournier et al., 2011).”

    From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Le Bihan et al., 2001

  • DTI is the most commonly employed diffusion model and utilizes the magnitude and orientation of anisotropic water diffusion to estimate the WM structure of brain tissue, producing maps of macroscopic axonal organization.

    “Diffusion tensor imaging (DTI) is the most commonly employed diffusion model and utilizes the magnitude and orientation of anisotropic water diffusion to estimate the WM structure of brain tissue, thereby producing maps of macroscopic axonal organization in the brain (Basser and Pierpaoli, 1996; Le Bihan et al., 2001; Mori and Zhang, 2006).”
  • Diffusion tensor imaging is a magnetic resonance imaging technique that estimates white matter in vivo.

    “Diffusion tensor imaging (DTI) is a magnetic resonance imaging technique that estimates white matter in vivo (Bihan et al., 2001) and is increasingly being used to study the biology of addiction.”
  • DTI is an MRI method that estimates white matter in the living human brain.

    “Diffusion tensor imaging (DTI) is a magnetic resonance imaging technique that estimates white matter in vivo (Bihan et al., 2001)”

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Authors
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H.
Affiliations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
Venue
Journal of Magnetic Resonance Imaging
Publisher
Wiley
Published
2001-03-21
Volume
13
Issue
4
Pages
534-546
ISSN
  • 1053-1807 (ISSN-L)
  • 1522-2586
OpenAlex
W2120259577
Cited by
3,547
References
128
Citations by year
2026: 89 · 2025: 131 · 2024: 139 · 2023: 136 · 2022: 135 · 2021: 182 · 2020: 157 · 2019: 145 · 2018: 159 · 2017: 179 · 2016: 190 · 2015: 173 · 2014: 211 · 2013: 179 · 2012: 181
FWCI
7.98
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Magnetic Resonance Imaging (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
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
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
Keywords
diffusion tensor imaging, diffusion MRI, diffusion anisotropy, white matter microstructure, tractography, brain connectivity, functional MRI, stroke, multiple sclerosis, dyslexia, schizophrenia, clinical application
MeSH terms
Brain Diseases, Diffusion, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging

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