• DocumentCode
    617275
  • Title

    Automatic joint detection in rheumatoid arthritis hand radiographs

  • Author

    Yinghe Huo ; Vincken, Koen L. ; Viergever, Max A. ; Lafeber, Floris P.

  • Author_Institution
    Image Sci. Inst., Univ. Med. Center Utrecht, Utrecht, Netherlands
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    The measurement of joint space width (JSW) in hand x-ray images of patients suffering from Rheumatoid Arthritis (RA) is a time consuming task for radiologists. Manual assessment lacks accuracy and is observer-dependent, which hinders an accurate evaluation of joint degeneration in early diagnosis and follow-up studies. Automatic analysis of the JSW is crucial with regard to standardization, sensitivity, and reproducibility. In this paper, we focus on both joint location and joint margin detection. For the evaluation, five hand radiographs from RA patients, in which the joints have been manually delineated, are used. All finger joints are located correctly with margins differing 0.1 mm on average from the manual delineation.
  • Keywords
    bone; diagnostic radiography; diseases; edge detection; image segmentation; medical image processing; JSW automatic analysis; automatic joint detection; early diagnosis; hand X-ray images; image segmentation; joint degeneration accurate evaluation; joint location; joint margin detection; joint space width meaurement; manual delineation; reproducibility; rheumatoid arthritis hand radiograph; sensitivity; standardization; Biomedical imaging; Bones; Electronics packaging; Feature extraction; Image edge detection; Joints; Radiography; Rheumatoid Arthritis; automatic joint detection; hand bone segmentation; joint margin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556428
  • Filename
    6556428