Proximal femur segmentation in conventional pelvic x ray
- Institute of Applied Systems Research and Development, University for Health Sciences, Medical Informatics and Technology (UMIT), 6060 Hall in Tyrol (Austria) and Institute of Biomedical Image Analysis, University for Health Sciences, Medical Informatics and Technology (UMIT) (Austria)
A solid and accurate proximal femur segmentation technique using the popular active shape model (ASM) is proposed. For generating an optimal shape prior, the minimum description length, based on 200 supervised manual segmented proximal femur shapes, is used. The segmentation is based on a coarse to fine scaling technique including a profile scale space method. The segmentation results are compared using an optimal defined initial pose and a pose based on a registration technique. Using ideal template initialization, 95% of the shapes have been recovered exactly (average point-to-point error {approx}13 pixels, average point-to-boundary error {approx}7 pixels). Using a template-based initialization based on a registration technique, a successful segmentation rate of {approx}89% is achieved, with an average point-to-point error {approx}12 pixels, and an average point-to-boundary error {approx}8 pixels. With an adequate template initialization and an improved ASM, this method seems to provide an accurate tool for segmentation of the proximal femur shapes on conventional hip overview x-ray images.
- OSTI ID:
- 21120760
- Journal Information:
- Medical Physics, Vol. 35, Issue 6; Other Information: DOI: 10.1118/1.2919096; (c) 2008 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-2405
- Country of Publication:
- United States
- Language:
- English
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