articleNeuroImageMay 2, 2015HYBRID OA

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

JEJuan Eugenio IglesiasJCJean C. AugustinackKNKhoa NguyenCMChristopher M. PlayerAPAllison Player

Harvard University · Basque Center on Cognition, Brain and Language · +9 more institutions

PubMed
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Abstract

Automated analysis of MRI data of the subregions of the hippocampus requires computational atlases built at a higher resolution than those that are typically used in current neuroimaging studies. Here we describe the construction of a statistical atlas of the hippocampal formation at the subregion level using ultra-high resolution, ex vivo MRI. Fifteen autopsy samples were scanned at 0.13 mm isotropic resolution (on average) using customized hardware. The images were manually segmented into 13 different hippocampal substructures using a protocol specifically designed for this study; precise delineations were made possible by the extraordinary resolution of the scans. In addition to the subregions, manual…

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Topics & keywords

Topics
Keywords
  • Segmentation
  • Computer science
  • Atlas (anatomy)
  • Hippocampal formation
  • Artificial intelligence
  • Neuroimaging
  • Pattern recognition (psychology)
  • Magnetic resonance imaging
UN Sustainable Development Goals
  • Reduced inequalities
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