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Quantitative mapping of the per‐axon diffusion coefficients in brain white matter
PURPOSE: This article presents a simple method for estimating the effective diffusion coefficients parallel and perpendicular to the axons unconfounded by the intravoxel fiber orientation distribution. We also call these parameters the per‐axon or microscopic diffusion coefficients. THEORY AND METHO...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975722/ https://www.ncbi.nlm.nih.gov/pubmed/25974332 http://dx.doi.org/10.1002/mrm.25734 |
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author | Kaden, Enrico Kruggel, Frithjof Alexander, Daniel C. |
author_facet | Kaden, Enrico Kruggel, Frithjof Alexander, Daniel C. |
author_sort | Kaden, Enrico |
collection | PubMed |
description | PURPOSE: This article presents a simple method for estimating the effective diffusion coefficients parallel and perpendicular to the axons unconfounded by the intravoxel fiber orientation distribution. We also call these parameters the per‐axon or microscopic diffusion coefficients. THEORY AND METHODS: Diffusion MR imaging is used to probe the underlying tissue material. The key observation is that for a fixed b‐value the spherical mean of the diffusion signal over the gradient directions does not depend on the axon orientation distribution. By exploiting this invariance property, we propose a simple, fast, and robust estimator of the per‐axon diffusion coefficients, which we refer to as the spherical mean technique. RESULTS: We demonstrate quantitative maps of the axon‐scale diffusion process, which has factored out the effects due to fiber dispersion and crossing, in human brain white matter. These microscopic diffusion coefficients are estimated in vivo using a widely available off‐the‐shelf pulse sequence featuring multiple b‐shells and high‐angular gradient resolution. CONCLUSION: The estimation of the per‐axon diffusion coefficients is essential for the accurate recovery of the fiber orientation distribution. In addition, the spherical mean technique enables us to discriminate microscopic tissue features from fiber dispersion, which potentially improves the sensitivity and/or specificity to various neurological conditions. Magn Reson Med, 2015. Magn Reson Med 75:1752–1763, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. |
format | Online Article Text |
id | pubmed-4975722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49757222016-08-17 Quantitative mapping of the per‐axon diffusion coefficients in brain white matter Kaden, Enrico Kruggel, Frithjof Alexander, Daniel C. Magn Reson Med Biophysics and Basic Biomedical Research – Full Papers PURPOSE: This article presents a simple method for estimating the effective diffusion coefficients parallel and perpendicular to the axons unconfounded by the intravoxel fiber orientation distribution. We also call these parameters the per‐axon or microscopic diffusion coefficients. THEORY AND METHODS: Diffusion MR imaging is used to probe the underlying tissue material. The key observation is that for a fixed b‐value the spherical mean of the diffusion signal over the gradient directions does not depend on the axon orientation distribution. By exploiting this invariance property, we propose a simple, fast, and robust estimator of the per‐axon diffusion coefficients, which we refer to as the spherical mean technique. RESULTS: We demonstrate quantitative maps of the axon‐scale diffusion process, which has factored out the effects due to fiber dispersion and crossing, in human brain white matter. These microscopic diffusion coefficients are estimated in vivo using a widely available off‐the‐shelf pulse sequence featuring multiple b‐shells and high‐angular gradient resolution. CONCLUSION: The estimation of the per‐axon diffusion coefficients is essential for the accurate recovery of the fiber orientation distribution. In addition, the spherical mean technique enables us to discriminate microscopic tissue features from fiber dispersion, which potentially improves the sensitivity and/or specificity to various neurological conditions. Magn Reson Med, 2015. Magn Reson Med 75:1752–1763, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. John Wiley and Sons Inc. 2015-05-13 2016-04 /pmc/articles/PMC4975722/ /pubmed/25974332 http://dx.doi.org/10.1002/mrm.25734 Text en © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biophysics and Basic Biomedical Research – Full Papers Kaden, Enrico Kruggel, Frithjof Alexander, Daniel C. Quantitative mapping of the per‐axon diffusion coefficients in brain white matter |
title | Quantitative mapping of the per‐axon diffusion coefficients in brain white matter |
title_full | Quantitative mapping of the per‐axon diffusion coefficients in brain white matter |
title_fullStr | Quantitative mapping of the per‐axon diffusion coefficients in brain white matter |
title_full_unstemmed | Quantitative mapping of the per‐axon diffusion coefficients in brain white matter |
title_short | Quantitative mapping of the per‐axon diffusion coefficients in brain white matter |
title_sort | quantitative mapping of the per‐axon diffusion coefficients in brain white matter |
topic | Biophysics and Basic Biomedical Research – Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975722/ https://www.ncbi.nlm.nih.gov/pubmed/25974332 http://dx.doi.org/10.1002/mrm.25734 |
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