Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

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MRI Atlas of the Human Deep Brain

Institution:
1Service de Neurochirurgie, CHU Clermont-Ferrand, Université Clermont Auvergne, Centre National de la Recherche Scientifique, Engineering School SIGMA Clermont, Clermont-Ferrand, France.
2Department of Neurosurgery, Radiation Oncology, HCOR Neuroscience, São Paulo, Brazil.
3Surgical Planning Laboratory, Center for Morphometric Analysis, A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, Brigham and Women's Hospital, Boston, MA, USA.
Publication Date:
Aug-2019
Journal:
Front Neurol
Volume Number:
10
Pages:
851
Citation:
Front Neurol. 2019 Aug 27;10:851
PubMed ID:
31507507
PMCID:
PMC6718608
Keywords:
MRI, atlas, deep brain, human, hypothalamus, stereotaxis, subthalamus, thalamus
Appears in Collections:
NAC, NCIGT, PNL, SPL
Sponsors:
P41 EB015898/EB/NIBIB NIH HHS/United States
P41 EB015902/EB/NIBIB NIH HHS/United States
U24 CA180918/CA/NCI NIH HHS/United States
Generated Citation:
Lemaire J-J., De Salles A., Coll G., El Ouadih Y., Chaix R., Coste J., Durif F., Makris N., Kikinis R. MRI Atlas of the Human Deep Brain. Front Neurol. 2019 Aug 27;10:851 PMID: 31507507. PMCID: PMC6718608.
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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.