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Wiley, Hippocampus, 6(19), p. 572-578, 2009

DOI: 10.1002/hipo.20627

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Disease Classification With Hippocampal Shape Invariants

Journal article published in 2009 by Boris Gutman, Yalin Wang ORCID, Jonathan Morra, Arthur W. Toga, Paul M. Thompson
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This paper is available in a repository.

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Abstract

We present an Alzheimer's detection study based on a global shape description of hippocampal surface models. With global descriptors forming our bag of features, Support Vector Machine classification of 49 Alzheimer (AD) and 63 elderly control subjects yielded 75.5% sensitivity and 87.3% specificity with 82.1% correct overall in a leave-one-out test. We show that our description contributes new information to simpler shape measures. Armed with a rigid shape registration tool, we also present a way to visualize variation in global shape description as a local displacement map, thus clarifying the descriptors' anatomical meaning.