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Cited by 423Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsMRI in cancer diagnosis

The capillary network: A link between IVIM and classical perfusion

Bihan, Denis Le, Turner, Robert·1992·Magnetic Resonance in Medicine
DOI 10.1002/mrm.1910270116
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Abstract

MR measurements based on motion encoding gradients, such as intravoxel incoherent motion imaging, could provide, in principle, information on flowing blood volume and blood velocity. This note shows that, in addition, the knowledge of the capillary network organization may provide a link between these measurements and those obtained by conventional and MR perfusion techniques based on tracer uptake by tissues.

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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 Le Bihan & Turner, 1992

    The IVIM Approach (p. 7) gives a cat-brain-cortex example with f = 6.1 ± 0.4%, and the Conclusion (p. 7) says brain studies highlight the extreme difficulty of separating perfusion from the much larger bulk-tissue-water signal. Our copy does not state that D* is typically much larger than D or that the IVIM contribution is concentrated at very low b-values. (LLM, conf=0.86)

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Research works printed but not linked: 30

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Cited by

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Authors
Bihan, D. L., & Turner, R.
Affiliations
National Institutes of Health (US)
ORCID
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
1992-09
Volume
27
Issue
1
Pages
171-178
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
DOI
10.1002/mrm.1910270116
OpenAlex
W2137778355
Cited by
423
References
0
Citations by year
2026: 13 · 2025: 20 · 2024: 23 · 2023: 20 · 2022: 27 · 2021: 29 · 2020: 26 · 2019: 28 · 2018: 33 · 2017: 43 · 2016: 33 · 2015: 18 · 2014: 21 · 2013: 16 · 2012: 10
FWCI
0.95
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 4843 d)
Locations
  • Magnetic Resonance in Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
  • Max Planck Digital Library (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • 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
Keywords
capillary network, perfusion MRI, blood volume, blood flow velocity
MeSH terms
Capillaries, Humans, Magnetic Resonance Spectroscopy, Perfusion

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