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Microstructural parameter estimation in vivo using diffusion MRI and structured prior information

PURPOSE: Diffusion MRI has recently been used with detailed models to probe tissue microstructure. Much of this work has been performed ex vivo with powerful scanner hardware, to gain sensitivity to parameters such as axon radius. By contrast, performing microstructure imaging on clinical scanners i...

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Autores principales: Clayden, Jonathan D., Nagy, Zoltan, Weiskopf, Nikolaus, Alexander, Daniel C., Clark, Chris A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791093/
https://www.ncbi.nlm.nih.gov/pubmed/25994918
http://dx.doi.org/10.1002/mrm.25723
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author Clayden, Jonathan D.
Nagy, Zoltan
Weiskopf, Nikolaus
Alexander, Daniel C.
Clark, Chris A.
author_facet Clayden, Jonathan D.
Nagy, Zoltan
Weiskopf, Nikolaus
Alexander, Daniel C.
Clark, Chris A.
author_sort Clayden, Jonathan D.
collection PubMed
description PURPOSE: Diffusion MRI has recently been used with detailed models to probe tissue microstructure. Much of this work has been performed ex vivo with powerful scanner hardware, to gain sensitivity to parameters such as axon radius. By contrast, performing microstructure imaging on clinical scanners is extremely challenging. METHODS: We use an optimized dual spin‐echo diffusion protocol, and a Bayesian fitting approach, to obtain reproducible contrast (histogram overlap of up to 92%) in estimated maps of axon radius index in healthy adults at a modest, widely‐available gradient strength (35 mT m [Formula: see text]). A key innovation is the use of influential priors. RESULTS: We demonstrate that our priors can improve precision in axon radius estimates—a 7‐fold reduction in voxelwise coefficient of variation in vivo—without significant bias. Our results may reflect true axon radius differences between white matter regions, but this interpretation should be treated with caution due to the complexity of the tissue relative to our model. CONCLUSIONS: Some sensitivity to relatively large axons (3–15 μm) may be available at clinical field and gradient strengths. Future applications at higher gradient strength will benefit from the favorable eddy current properties of the dual spin‐echo sequence, and greater precision available with suitable priors. Magn Reson Med, 2015. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Magn Reson Med 75:1787–1796, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance.
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spelling pubmed-47910932016-04-11 Microstructural parameter estimation in vivo using diffusion MRI and structured prior information Clayden, Jonathan D. Nagy, Zoltan Weiskopf, Nikolaus Alexander, Daniel C. Clark, Chris A. Magn Reson Med Computer Processing and Modeling – Full Papers PURPOSE: Diffusion MRI has recently been used with detailed models to probe tissue microstructure. Much of this work has been performed ex vivo with powerful scanner hardware, to gain sensitivity to parameters such as axon radius. By contrast, performing microstructure imaging on clinical scanners is extremely challenging. METHODS: We use an optimized dual spin‐echo diffusion protocol, and a Bayesian fitting approach, to obtain reproducible contrast (histogram overlap of up to 92%) in estimated maps of axon radius index in healthy adults at a modest, widely‐available gradient strength (35 mT m [Formula: see text]). A key innovation is the use of influential priors. RESULTS: We demonstrate that our priors can improve precision in axon radius estimates—a 7‐fold reduction in voxelwise coefficient of variation in vivo—without significant bias. Our results may reflect true axon radius differences between white matter regions, but this interpretation should be treated with caution due to the complexity of the tissue relative to our model. CONCLUSIONS: Some sensitivity to relatively large axons (3–15 μm) may be available at clinical field and gradient strengths. Future applications at higher gradient strength will benefit from the favorable eddy current properties of the dual spin‐echo sequence, and greater precision available with suitable priors. Magn Reson Med, 2015. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Magn Reson Med 75:1787–1796, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance. John Wiley and Sons Inc. 2015-05-20 2016-04 /pmc/articles/PMC4791093/ /pubmed/25994918 http://dx.doi.org/10.1002/mrm.25723 Text en © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. 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 Computer Processing and Modeling – Full Papers
Clayden, Jonathan D.
Nagy, Zoltan
Weiskopf, Nikolaus
Alexander, Daniel C.
Clark, Chris A.
Microstructural parameter estimation in vivo using diffusion MRI and structured prior information
title Microstructural parameter estimation in vivo using diffusion MRI and structured prior information
title_full Microstructural parameter estimation in vivo using diffusion MRI and structured prior information
title_fullStr Microstructural parameter estimation in vivo using diffusion MRI and structured prior information
title_full_unstemmed Microstructural parameter estimation in vivo using diffusion MRI and structured prior information
title_short Microstructural parameter estimation in vivo using diffusion MRI and structured prior information
title_sort microstructural parameter estimation in vivo using diffusion mri and structured prior information
topic Computer Processing and Modeling – Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791093/
https://www.ncbi.nlm.nih.gov/pubmed/25994918
http://dx.doi.org/10.1002/mrm.25723
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