Paper
27 March 2009 Method for fast and accurate segmentation processing from prior shape: application to femoral head segmentation on x-ray images
Ramnada Chav, Thierry Cresson, Claude Kauffmann, Jacques A. de Guise
Author Affiliations +
Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72594Y (2009) https://doi.org/10.1117/12.812459
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
This paper proposes a prior shape segmentation method to create a constant-width ribbon-like zone that runs along the boundary to be extracted. The image data corresponding to that zone is transformed into a rectangular image subspace where the boundary is roughly straightened. Every step of the segmentation process is then applied to that straightened subspace image where the final extracted boundary is transformed back into the original image space. This approach has the advantage of producing very efficient filtering and edge detection using conventional techniques. The final boundary is continuous even over image regions where partial information is missing. The technique was applied to the femoral head segmentation where we show that the final segmented boundary is very similar to the one obtained manually by a trained orthopedist and has low sensitivity to the initial positioning of the prior shape.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramnada Chav, Thierry Cresson, Claude Kauffmann, and Jacques A. de Guise "Method for fast and accurate segmentation processing from prior shape: application to femoral head segmentation on x-ray images", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72594Y (27 March 2009); https://doi.org/10.1117/12.812459
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Image segmentation

Image processing

Head

Image filtering

3D modeling

Digital filtering

Solids

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