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Digital 3D Brain MRI Arterial Territories Atlas
The locus and extent of brain damage in the event of vascular insult can be quantitatively established quickly and easily with vascular atlases. Although highly anticipated by clinicians and clinical researchers, no digital MRI arterial atlas is readily available for automated data analyses. We crea...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899211/ https://www.ncbi.nlm.nih.gov/pubmed/36739282 http://dx.doi.org/10.1038/s41597-022-01923-0 |
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author | Liu, Chin-Fu Hsu, Johnny Xu, Xin Kim, Ganghyun Sheppard, Shannon M. Meier, Erin L. Miller, Michael I. Hillis, Argye E. Faria, Andreia V. |
author_facet | Liu, Chin-Fu Hsu, Johnny Xu, Xin Kim, Ganghyun Sheppard, Shannon M. Meier, Erin L. Miller, Michael I. Hillis, Argye E. Faria, Andreia V. |
author_sort | Liu, Chin-Fu |
collection | PubMed |
description | The locus and extent of brain damage in the event of vascular insult can be quantitatively established quickly and easily with vascular atlases. Although highly anticipated by clinicians and clinical researchers, no digital MRI arterial atlas is readily available for automated data analyses. We created a digital arterial territory atlas based on lesion distributions in 1,298 patients with acute stroke. The lesions were manually traced in the diffusion-weighted MRIs, binary stroke masks were mapped to a common space, probability maps of lesions were generated and the boundaries for each arterial territory was defined based on the ratio between probabilistic maps. The atlas contains the definition of four major supra- and infra-tentorial arterial territories: Anterior, Middle, Posterior Cerebral Arteries and Vertebro-Basilar, and sub-territories (thalamoperforating, lenticulostriate, basilar and cerebellar arterial territories), in two hierarchical levels. This study provides the first publicly-available, digital, 3D deformable atlas of arterial brain territories, which may serve as a valuable resource for large-scale, reproducible processing and analysis of brain MRIs of patients with stroke and other conditions. |
format | Online Article Text |
id | pubmed-9899211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98992112023-02-06 Digital 3D Brain MRI Arterial Territories Atlas Liu, Chin-Fu Hsu, Johnny Xu, Xin Kim, Ganghyun Sheppard, Shannon M. Meier, Erin L. Miller, Michael I. Hillis, Argye E. Faria, Andreia V. Sci Data Data Descriptor The locus and extent of brain damage in the event of vascular insult can be quantitatively established quickly and easily with vascular atlases. Although highly anticipated by clinicians and clinical researchers, no digital MRI arterial atlas is readily available for automated data analyses. We created a digital arterial territory atlas based on lesion distributions in 1,298 patients with acute stroke. The lesions were manually traced in the diffusion-weighted MRIs, binary stroke masks were mapped to a common space, probability maps of lesions were generated and the boundaries for each arterial territory was defined based on the ratio between probabilistic maps. The atlas contains the definition of four major supra- and infra-tentorial arterial territories: Anterior, Middle, Posterior Cerebral Arteries and Vertebro-Basilar, and sub-territories (thalamoperforating, lenticulostriate, basilar and cerebellar arterial territories), in two hierarchical levels. This study provides the first publicly-available, digital, 3D deformable atlas of arterial brain territories, which may serve as a valuable resource for large-scale, reproducible processing and analysis of brain MRIs of patients with stroke and other conditions. Nature Publishing Group UK 2023-02-04 /pmc/articles/PMC9899211/ /pubmed/36739282 http://dx.doi.org/10.1038/s41597-022-01923-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Liu, Chin-Fu Hsu, Johnny Xu, Xin Kim, Ganghyun Sheppard, Shannon M. Meier, Erin L. Miller, Michael I. Hillis, Argye E. Faria, Andreia V. Digital 3D Brain MRI Arterial Territories Atlas |
title | Digital 3D Brain MRI Arterial Territories Atlas |
title_full | Digital 3D Brain MRI Arterial Territories Atlas |
title_fullStr | Digital 3D Brain MRI Arterial Territories Atlas |
title_full_unstemmed | Digital 3D Brain MRI Arterial Territories Atlas |
title_short | Digital 3D Brain MRI Arterial Territories Atlas |
title_sort | digital 3d brain mri arterial territories atlas |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899211/ https://www.ncbi.nlm.nih.gov/pubmed/36739282 http://dx.doi.org/10.1038/s41597-022-01923-0 |
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