Open AccessValidation of a fully automated hippocampal segmentation method on patients with dementia
Author(s) -
Firbank Michael J.,
Barber Robert,
Burton Emma J.,
O'Brien John T.
Publication year - 2008
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.20480
Subject(s) - segmentation , dementia , grey matter , artificial intelligence , white matter , vascular dementia , hippocampal formation , computer science , pattern recognition (psychology) , nuclear medicine , medicine , magnetic resonance imaging , pathology , radiology , disease
We describe a fully automated method for hippocampal segmentation. The method uses SPM5 (http://www.fil.ion.ucl.ac.uk/spm/) software to segment the brain into grey/white matter, and spatially normalize the images to standard space. Grey matter pixels within a predefined hippocampal region in standard space are identified to segment the hippocampi. The method was validated on 36 subjects (9 each of Alzheimer's disease, dementia with Lewy bodies, vascular dementia, and healthy controls). The mean absolute difference in volume compared with manual segmentation was 11% (SD 9%). Linear regression between manual and automated volume gave V(auto) = V(manual) x 0.83 + 401 ml. The method provides an acceptable automated alternative to manual segmentation which may be of value in large studies.