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Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics
Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance imaging biophysical signal model devised to probe in vivo microstructural information in the gray matter (GM). This model requires acquisitions that include b values that are at least six times higher than those used...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400787/ https://www.ncbi.nlm.nih.gov/pubmed/37461286 http://dx.doi.org/10.1002/hbm.26416 |
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author | Schiavi, Simona Palombo, Marco Zacà, Domenico Tazza, Francesco Lapucci, Caterina Castellan, Lucio Costagli, Mauro Inglese, Matilde |
author_facet | Schiavi, Simona Palombo, Marco Zacà, Domenico Tazza, Francesco Lapucci, Caterina Castellan, Lucio Costagli, Mauro Inglese, Matilde |
author_sort | Schiavi, Simona |
collection | PubMed |
description | Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance imaging biophysical signal model devised to probe in vivo microstructural information in the gray matter (GM). This model requires acquisitions that include b values that are at least six times higher than those used in clinical practice. Such high b values are required to disentangle the signal contribution of water diffusing in soma from that diffusing in neurites and extracellular space, while keeping the diffusion time as short as possible to minimize potential bias due to water exchange. These requirements have limited the use of SANDI only to preclinical or cutting‐edge human scanners. Here, we investigate the potential impact of neglecting water exchange in the SANDI model and present a 10‐min acquisition protocol that enables to characterize both GM and white matter (WM) on 3 T scanners. We implemented analytical simulations to (i) evaluate the stability of the fitting of SANDI parameters when diminishing the number of shells; (ii) estimate the bias due to potential exchange between neurites and extracellular space in such reduced acquisition scheme, comparing it with the bias due to experimental noise. Then, we demonstrated the feasibility and assessed the repeatability and reproducibility of our approach by computing microstructural metrics of SANDI with AMICO toolbox and other state‐of‐the‐art models on five healthy subjects. Finally, we applied our protocol to five multiple sclerosis patients. Results suggest that SANDI is a practical method to characterize WM and GM tissues in vivo on performant clinical scanners. |
format | Online Article Text |
id | pubmed-10400787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104007872023-08-05 Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics Schiavi, Simona Palombo, Marco Zacà, Domenico Tazza, Francesco Lapucci, Caterina Castellan, Lucio Costagli, Mauro Inglese, Matilde Hum Brain Mapp Research Articles Soma and neurite density image (SANDI) is an advanced diffusion magnetic resonance imaging biophysical signal model devised to probe in vivo microstructural information in the gray matter (GM). This model requires acquisitions that include b values that are at least six times higher than those used in clinical practice. Such high b values are required to disentangle the signal contribution of water diffusing in soma from that diffusing in neurites and extracellular space, while keeping the diffusion time as short as possible to minimize potential bias due to water exchange. These requirements have limited the use of SANDI only to preclinical or cutting‐edge human scanners. Here, we investigate the potential impact of neglecting water exchange in the SANDI model and present a 10‐min acquisition protocol that enables to characterize both GM and white matter (WM) on 3 T scanners. We implemented analytical simulations to (i) evaluate the stability of the fitting of SANDI parameters when diminishing the number of shells; (ii) estimate the bias due to potential exchange between neurites and extracellular space in such reduced acquisition scheme, comparing it with the bias due to experimental noise. Then, we demonstrated the feasibility and assessed the repeatability and reproducibility of our approach by computing microstructural metrics of SANDI with AMICO toolbox and other state‐of‐the‐art models on five healthy subjects. Finally, we applied our protocol to five multiple sclerosis patients. Results suggest that SANDI is a practical method to characterize WM and GM tissues in vivo on performant clinical scanners. John Wiley & Sons, Inc. 2023-07-17 /pmc/articles/PMC10400787/ /pubmed/37461286 http://dx.doi.org/10.1002/hbm.26416 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Schiavi, Simona Palombo, Marco Zacà, Domenico Tazza, Francesco Lapucci, Caterina Castellan, Lucio Costagli, Mauro Inglese, Matilde Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics |
title | Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics |
title_full | Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics |
title_fullStr | Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics |
title_full_unstemmed | Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics |
title_short | Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics |
title_sort | mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400787/ https://www.ncbi.nlm.nih.gov/pubmed/37461286 http://dx.doi.org/10.1002/hbm.26416 |
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