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MICCAI
2004
Springer

Construction of 3D Dynamic Statistical Deformable Models for Complex Topological Shapes

14 years 4 months ago
Construction of 3D Dynamic Statistical Deformable Models for Complex Topological Shapes
Abstract. This paper describes the construction of 3D dynamic statistical deformable models for complex topological shapes. It significantly extents the existing framework in that surfaces with higher genus can be effectively modeled. Criteria based on surface conformality and minimum description length is used to simultaneously identify the intrinsic global correspondence of the training data. The proposed method requires neither surface partitioning nor artificial grids on the parameterization manifold. The strength of the method is demonstrated by building a statistical model of the complex anatomical structure of the left side of human heart that includes the left ventricle, left atrium, aortic outflow tract, and pulmonary veins. The analysis of variance and leave-one-out-cross-validation indicate that the derived model not only captures physiologically plausible modes of variation but also is robust and concise, thus greatly enhancing its potential clinical value.
Paramate Horkaew, Guang-Zhong Yang
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2004
Where MICCAI
Authors Paramate Horkaew, Guang-Zhong Yang
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