A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Applica...
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI
About this item
Full title
Author / Creator
for the Alzheimer's Disease Neuroimaging Initiative , Alzheimer's Disease Neuroimaging Initiative , 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 and Van Leemput, Koen
Publisher
United States: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
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. Fif...
Alternative Titles
Full title
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI
Authors, Artists and Contributors
Author / Creator
Alzheimer's Disease Neuroimaging Initiative
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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4461537
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4461537
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2015.04.042
