Detecting Femur Fractures by Texture Analysis of Trabeculae

Authors:
Dennis Wen-Hsiang Yap;Ying Chen;Wee Kheng Leow;Tet Sen Howe;Meng Ai Png
Affiliations:
National University of Singapore;National University of Singapore;National University of Singapore;Singapore General Hospital;Singapore General Hospital
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Year:
2004

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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.