Statistical modeling of shape and appearance using the continuous medial representation

Authors:
Paul A. Yushkevich;Hui Zhang;James C. Gee
Affiliations:
Department of Radiology, University of Pennsylvania;Department of Radiology, University of Pennsylvania;Department of Radiology, University of Pennsylvania
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Year:
2005

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Abstract

We describe a novel approach to combining shape and appearance features in the statistical analysis of structures in medical images. The continuous medial representation is used to relate these two types of features meaningfully. The representation imposes a shape-based coordinate system on structure interiors, in a way that uses the boundary normal as one of the coordinate axes, while providing an onto and nearly one-to-one parametrization. This coordinate system is used to sample image intensities in the context of shape. The approach is illustrated by the principal components analysis of the shape and appearance of the hippocampus in T1-weighted MRI from a schizophrenia study.