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Proceedings Paper

Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation
Author(s): Sovira Tan; Jianhua Yao; Lawrence Yao; Ronald M. Summers; Michael M. Ward
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Paper Abstract

Knowledge of the acetabular rim and surface can be invaluable for hip surgery planning and dysplasia evaluation. The acetabular rim can also be used as a landmark for registration purposes. At the present time acetabular features are mostly extracted manually at great cost of time and human labor. Using a recent level set algorithm that can evolve on the surface of a 3D object represented by a triangular mesh we automatically extracted rims and surfaces of acetabulae. The level set is guided by curvature features on the mesh. It can segment portions of a surface that are bounded by a line of extremal curvature (ridgeline or crestline). The rim of the acetabulum is such an extremal curvature line. Our material consists of eight hemi-pelvis surfaces. The algorithm is initiated by putting a small circle (level set seed) at the center of the acetabular surface. Because this surface distinctively has the form of a cup we were able to use the Shape Index feature to automatically extract an approximate center. The circle then expands and deforms so as to take the shape of the acetabular rim. The results were visually inspected. Only minor errors were detected. The algorithm also proved to be robust. Seed placement was satisfactory for the eight hemi-pelvis surfaces without changing any parameters. For the level set evolution we were able to use a single set of parameters for seven out of eight surfaces.

Paper Details

Date Published: 17 March 2008
PDF: 10 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69181N (17 March 2008); doi: 10.1117/12.769550
Show Author Affiliations
Sovira Tan, National Institutes of Health (United States)
Jianhua Yao, National Institutes of Health (United States)
Lawrence Yao, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)
Michael M. Ward, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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