Title

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

Document Type

Conference Article

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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.

First Page

121

Last Page

133

DOI

10.1007/978-3-030-05288-1_10

Publication Date

1-1-2018

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