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Detection of Osteoarthritis by Gap and Shape Analysis of Knee-Bone X-ray

  • Sabyasachi Mukherjee
  • Oishila BandyopadhyayEmail author
  • Arindam Biswas
  • Bhargab B. Bhattacharya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11255)

Abstract

Osteoarthritis in knee-joints of humans can be diagnosed by analyzing an X-ray image of the bone. The changes in the shape of the concerned bones (tibia and femur), and the variation in joint-gap, provide markers of such a bone disease. In this paper, digital-geometric techniques are deployed to analyze the X-ray image for identifying the change in shape and alignment of knee-bones, if any. The gap between the two sections of a knee-joint is checked for uniformity over the entire length. The shape of bone can also be correlated to the presence of osteophytes, if any. For automated diagnosis of osteoarthritis, the given X-ray image is analyzed to detect the presence of any abnormality in the bone-contour or gap. We use the concept of chain code and relaxed digital straight-line segments (RDSS) in our analysis.

Keywords

Bone X-ray image Chain code Osteoarthritis Shape analysis 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Sabyasachi Mukherjee
    • 1
  • Oishila Bandyopadhyay
    • 2
    Email author
  • Arindam Biswas
    • 1
  • Bhargab B. Bhattacharya
    • 3
  1. 1.Indian Institute of Engineering Science and Technology, ShibpurHowrahIndia
  2. 2.Indian Institute of Information Technology KalyaniKalyaniIndia
  3. 3.Indian Statistical InstituteKolkataIndia

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