Abstract
Knowledge about the biological variability of anatomical objects is essential for statistical shape analysis and a discrimination between healthy and pathological structures. This paper describes ongoing research on a novel approach that incorporates variability of a training set into the generation of a characteristic 3D shape model. The proposed shape representation is a hybrid of a fine-scale global boundary description and a coarse-scale local medial description. The hybrid overcomes inherent limitations of pure medial based or pure boundary based descriptions. The medial description composed of a net of medial primitives (M-rep) with fixed graph properties is derived from the shape space spanned by the major deformation eigenmodes of a boundary description based on spherical harmonic descriptors (SPHARM). The topology of the M-rep is determined by studying pruned 3D Voronoi skeletons in the given shape space. Shapes are characterized by its SPHARM descriptors and an individually deformed M-rep model. The hybrid shape description gives an implicit correspondence on the boundary and on the medial manifold, thus enabling a more powerful statistical analysis.
Original language | English (US) |
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Pages | 235-242 |
Number of pages | 8 |
State | Published - 2000 |
Event | MMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis - Hilton Head Island, SC, USA Duration: Jun 11 2000 → Jun 12 2000 |
Other
Other | MMBIA-2000: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis |
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City | Hilton Head Island, SC, USA |
Period | 6/11/00 → 6/12/00 |
ASJC Scopus subject areas
- Analysis