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Title: Detecting femur fractures by texture analysis of trabeculae
Authors: Yap, D.W.-H.
Chen, Y.
Leow, W.K. 
Howe, T.S.
Png, M.A.
Issue Date: 2004
Citation: Yap, D.W.-H.,Chen, Y.,Leow, W.K.,Howe, T.S.,Png, M.A. (2004). Detecting femur fractures by texture analysis of trabeculae. Proceedings - International Conference on Pattern Recognition 3 : 730-733. ScholarBank@NUS Repository.
Abstract: 30% of women and 13% of men worldwide suffer from osteoporotic bone fractures worldwide. In large hospitals, doctors need to visually inspect a large number of x-ray images to identify the fracture cases, which typically constitute about 12% of all the x-ray images examined. Automated fracture detection can help to screen for obvious cases and flag suspicious cases for closer examinations. This paper describes a method of detecting femur fractures by analyzing trabecular texture patterns. Test results show that it is more accurate than an existing method based on neck-shaft angle. Moreover, combining the methods further improve of the overall performance of fracture detection.
Source Title: Proceedings - International Conference on Pattern Recognition
ISBN: 0769521282
ISSN: 10514651
DOI: 10.1109/ICPR.2004.1334632
Appears in Collections:Staff Publications

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