Cardiac Medial Modeling and Time-Course Heart Wall Thickness Analysis

Authors:
Hui Sun;Brian B. Avants;Alejandro F. Frangi;Federico Sukno;James C. Gee;Paul A. Yushkevich
Affiliations:
Departments of Radiology, University of Pennsylvania, Philadelphia, USA;Departments of Radiology, University of Pennsylvania, Philadelphia, USA;Information and Communication Technologies Department, University Pompeu Fabra, Barcelona, Spain and Networking Center on Biomedical Research, CIBER-BBN, Barcelona, Spain;Information and Communication Technologies Department, University Pompeu Fabra, Barcelona, Spain and Networking Center on Biomedical Research, CIBER-BBN, Barcelona, Spain;Departments of Radiology, University of Pennsylvania, Philadelphia, USA;Departments of Radiology, University of Pennsylvania, Philadelphia, USA
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

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Abstract

The medial model is a powerful shape representation method that models a 3D object by explicitly defining its skeleton (medial axis) and deriving the boundary geometry according to medial geometry. It has been recently extended to model complex shapes with multi-figures, i.e., shapes whose skeletons can not be described by a single sheet in 3D. This paper applied the medial model to a 2-chamber heart data set consisting of 428 cardiac shapes from 90 subjects. The results show that the medial model can capture the heart shape accurately. To demonstrate the usage of the medial model, the changes of the heart wall thickness over time are analyzed. We calculated the mean heart wall thickness map of 90 subjects for different phases of the cardiac cycle, as well as the mean thickness change between phases.