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Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI

Diffusion‐weighted MRI is an important tool for in vivo and non‐invasive axon morphometry. The ActiveAx technique utilises an optimised acquisition protocol to infer orientationally invariant indices of axon diameter and density by fitting a model of white matter to the acquired data. In this study,...

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Autores principales: Sepehrband, Farshid, Alexander, Daniel C., Kurniawan, Nyoman D., Reutens, David C., Yang, Zhengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949708/
https://www.ncbi.nlm.nih.gov/pubmed/26748471
http://dx.doi.org/10.1002/nbm.3462
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author Sepehrband, Farshid
Alexander, Daniel C.
Kurniawan, Nyoman D.
Reutens, David C.
Yang, Zhengyi
author_facet Sepehrband, Farshid
Alexander, Daniel C.
Kurniawan, Nyoman D.
Reutens, David C.
Yang, Zhengyi
author_sort Sepehrband, Farshid
collection PubMed
description Diffusion‐weighted MRI is an important tool for in vivo and non‐invasive axon morphometry. The ActiveAx technique utilises an optimised acquisition protocol to infer orientationally invariant indices of axon diameter and density by fitting a model of white matter to the acquired data. In this study, we investigated the factors that influence the sensitivity to small‐diameter axons, namely the gradient strength of the acquisition protocol and the model fitting routine. Diffusion‐weighted ex. vivo images of the mouse brain were acquired using 16.4‐T MRI with high (G (max) of 300 mT/m) and ultra‐high (G (max) of 1350 mT/m) gradient strength acquisitions. The estimated axon diameter indices of the mid‐sagittal corpus callosum were validated using electron microscopy. In addition, a dictionary‐based fitting routine was employed and evaluated. Axon diameter indices were closer to electron microscopy measures when higher gradient strengths were employed. Despite the improvement, estimated axon diameter indices (a lower bound of ~ 1.8 μm) remained higher than the measurements obtained using electron microscopy (~1.2 μm). We further observed that limitations of pulsed gradient spin echo (PGSE) acquisition sequences and axonal dispersion could also influence the sensitivity with which axon diameter indices could be estimated. Our results highlight the influence of acquisition protocol, tissue model and model fitting, in addition to gradient strength, on advanced microstructural diffusion‐weighted imaging techniques. © 2016 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.
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spelling pubmed-49497082016-07-28 Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI Sepehrband, Farshid Alexander, Daniel C. Kurniawan, Nyoman D. Reutens, David C. Yang, Zhengyi NMR Biomed Research Articles Diffusion‐weighted MRI is an important tool for in vivo and non‐invasive axon morphometry. The ActiveAx technique utilises an optimised acquisition protocol to infer orientationally invariant indices of axon diameter and density by fitting a model of white matter to the acquired data. In this study, we investigated the factors that influence the sensitivity to small‐diameter axons, namely the gradient strength of the acquisition protocol and the model fitting routine. Diffusion‐weighted ex. vivo images of the mouse brain were acquired using 16.4‐T MRI with high (G (max) of 300 mT/m) and ultra‐high (G (max) of 1350 mT/m) gradient strength acquisitions. The estimated axon diameter indices of the mid‐sagittal corpus callosum were validated using electron microscopy. In addition, a dictionary‐based fitting routine was employed and evaluated. Axon diameter indices were closer to electron microscopy measures when higher gradient strengths were employed. Despite the improvement, estimated axon diameter indices (a lower bound of ~ 1.8 μm) remained higher than the measurements obtained using electron microscopy (~1.2 μm). We further observed that limitations of pulsed gradient spin echo (PGSE) acquisition sequences and axonal dispersion could also influence the sensitivity with which axon diameter indices could be estimated. Our results highlight the influence of acquisition protocol, tissue model and model fitting, in addition to gradient strength, on advanced microstructural diffusion‐weighted imaging techniques. © 2016 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. John Wiley and Sons Inc. 2016-03 2016-01-08 /pmc/articles/PMC4949708/ /pubmed/26748471 http://dx.doi.org/10.1002/nbm.3462 Text en © 2016 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. 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 Research Articles
Sepehrband, Farshid
Alexander, Daniel C.
Kurniawan, Nyoman D.
Reutens, David C.
Yang, Zhengyi
Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI
title Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI
title_full Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI
title_fullStr Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI
title_full_unstemmed Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI
title_short Towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted MRI
title_sort towards higher sensitivity and stability of axon diameter estimation with diffusion‐weighted mri
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949708/
https://www.ncbi.nlm.nih.gov/pubmed/26748471
http://dx.doi.org/10.1002/nbm.3462
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