Analytical and numerical study of the apparent diffusion coefficient in diffusion MRI at long diffusion times and low b-values

Diffusion magnetic resonance imaging provides a measure of the average distance travelled by water molecules in a medium and can give useful information on cellular structure and structural change when the medium is biological tissue. In this paper, two approximate models for the apparent diffusion coefficient at low b-values and long diffusion times are formulated and validated. The first is a steady-state partial differential equation model that gives the steady-state (infinite time) effective diffusion tensor for general cellular geometries. For nearly isotropic diffusion where the intra-cellular compartment consists of non-elongated cells, a second approximate model is provided in the form of analytical formulae for the eigenvalue of the steady-state effective diffusion tensor. Both models are validated by numerical simulations on a variety of cells sizes and shapes.

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Source https://inria.hal.science/hal-00763885
Author Li, Jing-Rebecca, Le Bihan, Denis, Nguyen, Thong Quoc, Grebenkov, Denis, S, Poupon, Cyril, Haddar, Houssem
Maintainer CCSD
Last Updated May 31, 2026, 17:41 (UTC)
Created May 31, 2026, 17:41 (UTC)
Identifier hal-00763885
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Shape reconstruction and identification (DeFI) ; Centre de Mathématiques Appliquées de l'Ecole polytechnique (CMAP) ; Institut National de Recherche en Informatique et en Automatique (Inria)-École polytechnique (X) ; Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-École polytechnique (X) ; Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de Saclay ; Institut National de Recherche en Informatique et en Automatique (Inria)
creator Li, Jing-Rebecca
date 2012-12-14T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-05-09T00:00:00
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