Depth-Based Shape Analysis

TitleDepth-Based Shape Analysis
Publication TypeConference Paper
Year of Publication2014
AuthorsHong Y, Gao Y, Niethammer M, Bouix S
Conference NameProceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

In this paper we propose a new method for shape analysis based on the depth-ordering of shapes. We use this depth-ordering to non-parametrically define depth with respect to a normal control population. This allows us to quantify differences with respect to “normality”. We combine this approach with a permutation test allowing it to test for localized shape differences. The method is evaluated on a synthetically generated striatum dataset as well as on a real caudate dataset.

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