• DocumentCode
    1682328
  • Title

    Segmentation method for phalanges in CR image by use of DCT

  • Author

    Hozu, Yoshimichi ; Murakami, Seiichi ; Kim, Hyoungseop ; Tan, Joo Kooi ; Ishikawa, Seiji ; Aoki, Takatoshi

  • fYear
    2010
  • Firstpage
    2082
  • Lastpage
    2085
  • Abstract
    In this paper, we propose a CAD (Computer aided diagnosis) system to analyze the RA (rheumatoid arthritis) and osteoporosis by using image processing techniques from the CR images. To analyze the RA, we develop a segmentation method for phalanges in CR Image by use of DCT (Discrete Cosine Transform) for detection of temporal change. The temporal change is detected using the difference image between previous image and current one. The DCT is performed to emphasize the edge of the difference image. Finally, the phalanges are extracted by performing Snakes. The primary objective of this study is to segment phalanges by making temporal subtraction images. We apply our proposed technique to eight cases of CR images and satisfactory segmentation results are achieved. A new index that diagnoses the progress level of the disease of phalanges can be offered as a second opinion.
  • Keywords
    bone; diagnostic radiography; discrete cosine transforms; diseases; edge detection; feature extraction; image segmentation; medical image processing; patient diagnosis; Snakes; computed radiography image; computer aided diagnosis system; difference image edge; discrete cosine transform; disease diagnosis; image processing technique; osteoporosis; phalange extraction; phalange segmentation; rheumatoid arthritis; temporal change detection; temporal subtraction images; Bones; Discrete cosine transforms; Fingers; Image segmentation; Joints; Osteoporosis; Computed Radiography; DCT; Osteoporosis; Rheumatoid Arthritis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation and Systems (ICCAS), 2010 International Conference on
  • Conference_Location
    Gyeonggi-do
  • Print_ISBN
    978-1-4244-7453-0
  • Electronic_ISBN
    978-89-93215-02-1
  • Type

    conf

  • Filename
    5670149