Computing Neck-Shaft Angle of Femur for X-Ray Fracture Detection

  • Tai Peng Tian
  • Ying Chen
  • Wee Kheng Leow
  • Wynne Hsu
  • Tet Sen Howe
  • Meng Ai Png
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2756)


Worldwide, 30% – 40% of women and 13% of men suffer from osteoporotic fractures of the bone, particularly the older people. Doctors in the hospitals need to manually inspect a large number of x-ray images to identify the fracture cases. Automated detection of fractures in x-ray images can help to lower the workload of doctors by screening out the easy cases, leaving a small number of difficult cases and the second confirmation to the doctors to examine more closely. To our best knowledge, such a system does not exist as yet. This paper describes a method of measuring the neck-shaft angle of the femur, which is one of the main diagnostic rules that doctors use to determine whether a fracture is present at the femur. Experimental tests performed on test images confirm that the method is accurate in measuring neck-shaft angle and detecting certain types of femur fractures.


Femoral Head Training Image Level Line International Osteoporosis Foundation Fracture Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Tai Peng Tian
    • 1
  • Ying Chen
    • 1
  • Wee Kheng Leow
    • 1
  • Wynne Hsu
    • 1
  • Tet Sen Howe
    • 2
  • Meng Ai Png
    • 3
  1. 1.Dept. of Computer ScienceNational University of SingaporeSingapore
  2. 2.Dept. of OrthopaedicsSingapore General HospitalSingapore
  3. 3.Dept. of Diagnostic RadiologySingapore General HospitalSingapore

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