Clinical intravoxel incoherent motion and diffusion MR imaging: Past, present, and future
Abstract
The concept of diffusion magnetic resonance (MR) imaging emerged in the mid-1980s, together with the first images of water diffusion in the human brain, as a way to probe tissue structure at a microscopic scale, although the images were acquired at a millimetric scale. Since then, diffusion MR imaging has become a pillar of modern clinical imaging. Diffusion MR imaging has mainly been used to investigate neurologic disorders. A dramatic application of diffusion MR imaging has been acute brain ischemia, providing patients with the opportunity to receive suitable treatment at a stage when brain tissue might still be salvageable, thus avoiding terrible handicaps. On the other hand, it was found that water diffusion is anisotropic in white matter, because axon membranes limit molecular movement perpendicularly to the nerve fibers. This feature can be exploited to produce stunning maps of the orientation in space of the white matter tracts and brain connections in just a few minutes. Diffusion MR imaging is now also rapidly expanding in oncology, for the detection of malignant lesions and metastases, as well as monitoring. Water diffusion is usually largely decreased in malignant tissues, and body diffusion MR imaging, which does not require any tracer injection, is rapidly becoming a modality of choice to detect, characterize, or even stage malignant lesions, especially for breast or prostate cancer. After a brief summary of the key methodological concepts beyond diffusion MR ima…
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Because D* is typically much larger than D, the IVIM contribution is concentrated at very low b-values, but remains difficult to separate robustly from diffusion because fIVIM is small (around a few percent).
“In the brain, D* is typically much larger than D, so the IVIM contribution is concentrated at very low b-values, but remains difficult to separate robustly from diffusion because fIVIM is small (around a few percent) (Fig. 3) (Iima & Le Bihan, 2016; Le Bihan, 2019; Le Bihan & Turner, 1992; Le Bihan et al., 1988).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Iima & Le Bihan, 2016
IVIM broadened diffusion MRI from a method of tissue microstructure toward a more general method capable of quantitative imaging of perfusion parameters (e.g., blood volume and blood flow through fIVIM and D*) without exogenous tracers or contrast agents.
“The conceptual importance of IVIM for brain neuroimaging has been substantial, broadening diffusion MRI from a method of tissue microstructure toward a more general method capable of quantitative imaging of perfusion parameters (e.g., blood volume and blood flow through fIVIM and D*) without the need for exogenous tracers or contrast agents (Iima & Le Bihan, 2016; Le Bihan, 2019).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Iima & Le Bihan, 2016
DKI has proved sensitive to pathological changes in ischemia, neurodegeneration, and tumors.
“DKI has proved sensitive to pathological changes in ischemia, neurodegeneration, and tumors (Helpern & Jensen, 2015; Iima & Le Bihan, 2016).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Iima & Le Bihan, 2016
Cites
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912 · see citing works
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review
Assaf, Y., & Pasternak, O. (2008) · Journal of Molecular Neuroscience · doi:10.1007/s12031-007-0029-0 · Cited by 1,537 · see citing works
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40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“A simple way to enhance sensitivity to non-Gaussian diffusion while preserving clinical feasibility is the shifted ADC (sADC) ( Iima & Le Bihan, 2016).”
Influential
- Authors
- Iima, M., & Le Bihan, D.
- Affiliations
- Kyoto University (JP)
- ORCID
- Iima, Mami
- Venue
- Radiology
- Published
- 2016-01
- Volume
- 278
- Issue
- 1
- Pages
- 13-32
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2212010376
- Cited by
- 498
- References
- 3
- Citations by year
- 2026: 32 · 2025: 36 · 2024: 50 · 2023: 45 · 2022: 52 · 2021: 56 · 2020: 45 · 2019: 60 · 2018: 59 · 2017: 42 · 2016: 20
- FWCI
- 6.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (15K19786)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- intravoxel incoherent motion, diffusion MRI, water diffusion, acute cerebral ischemia, white matter anisotropy, diffusion tensor imaging, white matter tractography, brain connectivity, breast cancer, prostate cancer, tumor staging
- MeSH terms
- Animals, Forecasting, Humans, Motion, Nervous System Diseases, Physics, Anisotropy, Diffusion Magnetic Resonance Imaging, Neuroimaging
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