• DocumentCode
    2178724
  • Title

    Detection of Small Lesions in Medical X-Ray Image Based on Multi-Scale Fractal Feature

  • Author

    Jin, Xuejing ; Qi, Dawei ; Wu, Haijun ; Liu, Fuxiang

  • Author_Institution
    Northeast Forestry Univ., Harbin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    X-ray technology is being increasingly employed for the clinical diagnosis and remedies in recent years. In order to distinguish small lesions in a medical X-ray image correctly, digital image processing technology is linked with clinical diagnosis. A method in medical image processing based on multiscale fractal feature (DMF) was applied in this paper. The DMF values of different regions in a medical image are normally different. According to the values of the DMF, small lesions in a medical X-ray image can be detected. This method has been applied to a digital bone fracture X-ray image. Experimental result showed that the DMF values of the background regions are between 0.005 and 0.020; the DMF values of the normal regions are between 0.040 and 0.070; and the DMF values of the knot regions are between 0.100 and 0.200. This method has stronger distinguishing ability, showing better performance in clinical diagnosis.
  • Keywords
    X-ray imaging; bone; fractals; medical image processing; object detection; patient diagnosis; clinical diagnosis; digital bone fracture X-ray image; digital image processing; medical X-ray image; multiscale fractal feature; small lesion detection; Biomedical image processing; Biomedical imaging; Clinical diagnosis; Digital images; Fractals; Lesions; Medical diagnostic imaging; X-ray detection; X-ray detectors; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5304956
  • Filename
    5304956