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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,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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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. |
format | Online Article Text |
id | pubmed-4949708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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