A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T.
This paper describes the construction of a computational anatomical atlas of the human hippocampus. The atlas is derived from high-resolution 9.4 Tesla MRI of postmortem samples. The main subfields of the hippocampus (cornu ammonis fields CA1, CA2/3; the dentate gyrus; and the vestigial hippocampal sulcus) are labeled in the images manually using a combination of distinguishable image features and geometrical features. A synthetic average image is derived from the MRI of the samples using shape and intensity averaging in the diffeomorphic non-linear registration framework, and a consensus labeling of the template is generated. The agreement of the consensus labeling with manual labeling of each sample is measured, and the effect of aiding registration with landmarks and manually generated mask images is evaluated. The atlas is provided as an online resource with the aim of supporting subfield segmentation in emerging hippocampus imaging and image analysis techniques. An example application examining subfield-level hippocampal atrophy in temporal lobe epilepsy demonstrates the application of the atlas to in vivo studies.
Yushkevich
Paul A
PA
Penn Image Computing and Science Laboratory (PICSL), Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA. pauly2@mail.med.upenn.edu
Avants
Brian B
BB
Pluta
John
J
Das
Sandhitsu
S
Minkoff
David
D
Mechanic-Hamilton
Dawn
D
Glynn
Simon
S
Pickup
Stephen
S
Liu
Weixia
W
Gee
James C
JC
Grossman
Murray
M
Detre
John A
JA
D000465:Algorithms; D002102:Cadaver; D003198:Computer Simulation; D006624:Hippocampus / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008953:Models, Anatomic; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity