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MRI Atlas of the Human Deep Brain
Mastering detailed anatomy of the human deep brain in clinical neurosciences is challenging. Although numerous pioneering works have gathered a large dataset of structural and topographic information, it is still difficult to transfer this knowledge into practice, even with advanced magnetic resonan...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718608/ https://www.ncbi.nlm.nih.gov/pubmed/31507507 http://dx.doi.org/10.3389/fneur.2019.00851 |
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author | Lemaire, Jean-Jacques De Salles, Antonio Coll, Guillaume El Ouadih, Youssef Chaix, Rémi Coste, Jérôme Durif, Franck Makris, Nikos Kikinis, Ron |
author_facet | Lemaire, Jean-Jacques De Salles, Antonio Coll, Guillaume El Ouadih, Youssef Chaix, Rémi Coste, Jérôme Durif, Franck Makris, Nikos Kikinis, Ron |
author_sort | Lemaire, Jean-Jacques |
collection | PubMed |
description | Mastering detailed anatomy of the human deep brain in clinical neurosciences is challenging. Although numerous pioneering works have gathered a large dataset of structural and topographic information, it is still difficult to transfer this knowledge into practice, even with advanced magnetic resonance imaging techniques. Thus, classical histological atlases continue to be used to identify structures for stereotactic targeting in functional neurosurgery. Physicians mainly use these atlases as a template co-registered with the patient's brain. However, it is possible to directly identify stereotactic targets on MRI scans, enabling personalized targeting. In order to help clinicians directly identify deep brain structures relevant to present and future medical applications, we built a volumetric MRI atlas of the deep brain (MDBA) on a large scale (infra millimetric). Twelve hypothalamic, 39 subthalamic, 36 telencephalic, and 32 thalamic structures were identified, contoured, and labeled. Nineteen coronal, 18 axial, and 15 sagittal MRI plates were created. Although primarily designed for direct labeling, the anatomic space was also subdivided in twelfths of AC-PC distance, leading to proportional scaling in the coronal, axial, and sagittal planes. This extensive work is now available to clinicians and neuroscientists, offering another representation of the human deep brain ([https://hal.archives-ouvertes.fr/] [hal-02116633]). The atlas may also be used by computer scientists who are interested in deciphering the topography of this complex region. |
format | Online Article Text |
id | pubmed-6718608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67186082019-09-10 MRI Atlas of the Human Deep Brain Lemaire, Jean-Jacques De Salles, Antonio Coll, Guillaume El Ouadih, Youssef Chaix, Rémi Coste, Jérôme Durif, Franck Makris, Nikos Kikinis, Ron Front Neurol Neurology Mastering detailed anatomy of the human deep brain in clinical neurosciences is challenging. Although numerous pioneering works have gathered a large dataset of structural and topographic information, it is still difficult to transfer this knowledge into practice, even with advanced magnetic resonance imaging techniques. Thus, classical histological atlases continue to be used to identify structures for stereotactic targeting in functional neurosurgery. Physicians mainly use these atlases as a template co-registered with the patient's brain. However, it is possible to directly identify stereotactic targets on MRI scans, enabling personalized targeting. In order to help clinicians directly identify deep brain structures relevant to present and future medical applications, we built a volumetric MRI atlas of the deep brain (MDBA) on a large scale (infra millimetric). Twelve hypothalamic, 39 subthalamic, 36 telencephalic, and 32 thalamic structures were identified, contoured, and labeled. Nineteen coronal, 18 axial, and 15 sagittal MRI plates were created. Although primarily designed for direct labeling, the anatomic space was also subdivided in twelfths of AC-PC distance, leading to proportional scaling in the coronal, axial, and sagittal planes. This extensive work is now available to clinicians and neuroscientists, offering another representation of the human deep brain ([https://hal.archives-ouvertes.fr/] [hal-02116633]). The atlas may also be used by computer scientists who are interested in deciphering the topography of this complex region. Frontiers Media S.A. 2019-08-27 /pmc/articles/PMC6718608/ /pubmed/31507507 http://dx.doi.org/10.3389/fneur.2019.00851 Text en Copyright © 2019 Lemaire, De Salles, Coll, El Ouadih, Chaix, Coste, Durif, Makris and Kikinis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Lemaire, Jean-Jacques De Salles, Antonio Coll, Guillaume El Ouadih, Youssef Chaix, Rémi Coste, Jérôme Durif, Franck Makris, Nikos Kikinis, Ron MRI Atlas of the Human Deep Brain |
title | MRI Atlas of the Human Deep Brain |
title_full | MRI Atlas of the Human Deep Brain |
title_fullStr | MRI Atlas of the Human Deep Brain |
title_full_unstemmed | MRI Atlas of the Human Deep Brain |
title_short | MRI Atlas of the Human Deep Brain |
title_sort | mri atlas of the human deep brain |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718608/ https://www.ncbi.nlm.nih.gov/pubmed/31507507 http://dx.doi.org/10.3389/fneur.2019.00851 |
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