Evidence map›Paper›PMID 42371334›Full record

ArticleMagma (New York, N.Y.)2026

Evaluation of the diffusion time dependence of the IVIM effect based on realistic capillary flow simulations in mouse brain.

Franciszek Hennel, Manuel Fernández López, Franca Schmid

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Article in Magma (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Franciszek HennelInstitute for Biomedical Engineering, University of Zurich and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland. hennel@biomed.ee.ethz.ch.ORCID http://orcid.org/0000-0003-0043-9921
Manuel Fernández LópezARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Franca SchmidARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.

Funding

Wellcome Trust 202192
6 · The paper itself

Abstract

introductionThe intra-voxel incoherent motion (IVIM) effect is an additional signal attenuation in in-vivo diffusion-weighted MRI due to blood microcirculation. The dependence of this effect on diffusion time is of high interest because it may inform about the architecture of blood vessels in perfusion studies and help optimizing diffusion scans to avoid the IVIM bias. This dependence is derived here using capillary blood trajectories obtained by realistic flow simulations in capillary bed samples of mouse brain cortex derived from two-photon microscopy.

methodsUsing the gaussian phase approximation, NMR signal attenuation due to IVIM is derived for pulsed-gradient diffusion sequences at different diffusion times and for sequences with flow-compensated gradient shapes by calculating the product of the gradient moment spectra with the spectral density of the simulated blood velocity autocorrelation function. RESULTS AND DISCUSSION: The results suggest that the microcirculation underlying the IVIM effect in the brain cannot be faithfully depicted by the commonly used models of diffusive or ballistic flow, but rather as a correlated random motion with a correlation time in the range of 60-120 ms. Consequently, the correlation time appears to be an interesting, MRI-accessible endpoint to characterize microcirculation. Further, the flow compensation as a means of suppressing the IVIM effect in diffusion measurements may not be fully effective.

Indexed as

Blood flow simulationIVIMPerfusionTime-dependent diffusion

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.