Literature DB >> 17979118

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

Michael J Firbank1, Robert Barber, Emma J Burton, John T O'Brien.   

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) x 0.83 + 401 ml. The method provides an acceptable automated alternative to manual segmentation which may be of value in large studies. Copyright 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17979118      PMCID: PMC6871146          DOI: 10.1002/hbm.20480

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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