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Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Le Bihan, D, Breton, E, Lallemand, D, Aubin, M L, Vignaud, J, Laval-Jeantet, M·1988·Radiology

Abstract

Intravoxel incoherent motion (IVIM) imaging is a method the authors developed to visualize microscopic motions of water. In biologic tissues, these motions include molecular diffusion and microcirculation of blood in the capillary network. IVIM images are quantified by an apparent diffusion coefficient (ADC), which integrates the effects of both diffusion and perfusion. The aim of this work was to demonstrate how much perfusion contributes to the ADC and to present a method for obtaining separate images of diffusion and perfusion. Images were obtained at 0.5 T with high-resolution multisection sequences and without the use of contrast material. Results in a phantom made of resin microspheres demonstrated the ability of the method to separately evaluate diffusion and perfusion. The method was then applied in patients with brain and bone tumors and brain ischemia. Clinical results showed significant promise of the method for tissue characterization by perfusion patterns and for functional studies in the evaluation of the microcirculation in physiologic and pathologic conditions, as, for instance, in brain ischemia.

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Metadata

Authors
Le Bihan, D., Breton, E., Lallemand, D., Aubin, M. L., Vignaud, J., & Laval-Jeantet, M.
Venue
Radiology
Published
1988-08
Volume
168
Issue
2
Pages
497-505
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2139794744
Cited by
3,169
References
0
FWCI
25.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. https://app.cochat.ai/papers/10.1148/radiology.168.2.3393671
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Le Bihan, D., Breton, E., Lallemand, D., Aubin, M. L., Vignaud, J., & Laval-Jeantet, M. (1988). Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology. https://doi.org/10.1148/radiology.168.2.3393671

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.