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

• Published in: NeuroImage (Orlando, Fla.) Vol. 115; pp. 117 - 137
• Main Authors: Iglesias, Juan Eugenio, Augustinack, Jean C., Nguyen, Khoa, Player, Christopher M., Player, Allison, Wright, Michelle, Roy, Nicole, Frosch, Matthew P., McKee, Ann C., Wald, Lawrence L., Fischl, Bruce, Van Leemput, Koen
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.07.2015; Elsevier Limited
• Subjects: Accuracy; Aged; Aged, 80 and over; Aging; Algorithms; Alzheimer Disease - diagnosis; Alzheimer Disease - pathology; Alzheimer's disease; Atlases as Topic; Automation; Biocompatibility; Biomedical materials; Brain - anatomy & histology; Brain - pathology; Cognitive Dysfunction - diagnosis; Cognitive Dysfunction - pathology; Computation; Construction; Diagnosis, Differential; Female; Formations; Hippocampus - anatomy & histology; Hippocampus - pathology; Humans; Image Processing, Computer-Assisted - methods; In vivo testing; Laboratories; Magnetic Resonance Imaging - methods; Male; Medical imaging; Middle Aged; Studies; Surgical implants

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 l...