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Validation of a fully automated hippocampal segmentation method on patients with dementia

✍ Scribed by Michael J. Firbank; Robert Barber; Emma J. Burton; John T. O'Brien


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
292 KB
Volume
29
Category
Article
ISSN
1065-9471

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✦ Synopsis


Abstract

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) Γ— 0.83 + 401 ml. The method provides an acceptable automated alternative to manual segmentation which may be of value in large studies. Hum Brain Mapp 2008. Β© 2007 Wiley‐Liss, Inc.


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