Cargando…
Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain
Diffusion-weighted magnetic resonance imaging (dMRI) is a non-invasive imaging technique that provides information about the barriers to the diffusion of water molecules in tissue. In the brain, this information can be used in several important ways, including to examine tissue abnormalities associa...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446284/ https://www.ncbi.nlm.nih.gov/pubmed/35427769 http://dx.doi.org/10.1016/j.neuroimage.2022.119200 |
_version_ | 1784783616345112576 |
---|---|
author | Grier, Mark D. Yacoub, Essa Adriany, Gregor Lagore, Russell L. Harel, Noam Zhang, Ru-Yuan Lenglet, Christophe Uğurbil, Kâmil Zimmermann, Jan Heilbronner, Sarah R. |
author_facet | Grier, Mark D. Yacoub, Essa Adriany, Gregor Lagore, Russell L. Harel, Noam Zhang, Ru-Yuan Lenglet, Christophe Uğurbil, Kâmil Zimmermann, Jan Heilbronner, Sarah R. |
author_sort | Grier, Mark D. |
collection | PubMed |
description | Diffusion-weighted magnetic resonance imaging (dMRI) is a non-invasive imaging technique that provides information about the barriers to the diffusion of water molecules in tissue. In the brain, this information can be used in several important ways, including to examine tissue abnormalities associated with brain disorders and to infer anatomical connectivity and the organization of white matter bundles through the use of tractography algorithms. However, dMRI also presents certain challenges. For example, historically, the biological validation of tractography models has shown only moderate correlations with anatomical connectivity as determined through invasive tract-tracing studies. Some of the factors contributing to such issues are low spatial resolution, low signal-to-noise ratios, and long scan times required for high-quality data, along with modeling challenges like complex fiber crossing patterns. Leveraging the capabilities provided by an ultra-high field scanner combined with denoising, we have acquired whole-brain, 0.58 mm isotropic resolution dMRI with a 2D-single shot echo planar imaging sequence on a 10.5 Tesla scanner in anesthetized macaques. These data produced high-quality tractograms and maps of scalar diffusion metrics in white matter. This work demonstrates the feasibility and motivation for in-vivo dMRI studies seeking to benefit from ultra-high fields. |
format | Online Article Text |
id | pubmed-9446284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-94462842022-09-06 Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain Grier, Mark D. Yacoub, Essa Adriany, Gregor Lagore, Russell L. Harel, Noam Zhang, Ru-Yuan Lenglet, Christophe Uğurbil, Kâmil Zimmermann, Jan Heilbronner, Sarah R. Neuroimage Article Diffusion-weighted magnetic resonance imaging (dMRI) is a non-invasive imaging technique that provides information about the barriers to the diffusion of water molecules in tissue. In the brain, this information can be used in several important ways, including to examine tissue abnormalities associated with brain disorders and to infer anatomical connectivity and the organization of white matter bundles through the use of tractography algorithms. However, dMRI also presents certain challenges. For example, historically, the biological validation of tractography models has shown only moderate correlations with anatomical connectivity as determined through invasive tract-tracing studies. Some of the factors contributing to such issues are low spatial resolution, low signal-to-noise ratios, and long scan times required for high-quality data, along with modeling challenges like complex fiber crossing patterns. Leveraging the capabilities provided by an ultra-high field scanner combined with denoising, we have acquired whole-brain, 0.58 mm isotropic resolution dMRI with a 2D-single shot echo planar imaging sequence on a 10.5 Tesla scanner in anesthetized macaques. These data produced high-quality tractograms and maps of scalar diffusion metrics in white matter. This work demonstrates the feasibility and motivation for in-vivo dMRI studies seeking to benefit from ultra-high fields. 2022-07-15 2022-04-13 /pmc/articles/PMC9446284/ /pubmed/35427769 http://dx.doi.org/10.1016/j.neuroimage.2022.119200 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Article Grier, Mark D. Yacoub, Essa Adriany, Gregor Lagore, Russell L. Harel, Noam Zhang, Ru-Yuan Lenglet, Christophe Uğurbil, Kâmil Zimmermann, Jan Heilbronner, Sarah R. Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain |
title | Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain |
title_full | Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain |
title_fullStr | Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain |
title_full_unstemmed | Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain |
title_short | Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain |
title_sort | ultra-high field (10.5t) diffusion-weighted mri of the macaque brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446284/ https://www.ncbi.nlm.nih.gov/pubmed/35427769 http://dx.doi.org/10.1016/j.neuroimage.2022.119200 |
work_keys_str_mv | AT griermarkd ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT yacoubessa ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT adrianygregor ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT lagorerusselll ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT harelnoam ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT zhangruyuan ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT lengletchristophe ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT ugurbilkamil ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT zimmermannjan ultrahighfield105tdiffusionweightedmriofthemacaquebrain AT heilbronnersarahr ultrahighfield105tdiffusionweightedmriofthemacaquebrain |