Automatic detection of diseased regions in knee cartilage

Arish A. Qazi; Erik B. Dam; Ole F. Olsen; Mads Nielsen; Claus Christiansen M.D.

doi:10.1117/12.709862

3 March 2007 Automatic detection of diseased regions in knee cartilage

Arish A. Qazi, Erik B. Dam, Ole F. Olsen, Mads Nielsen, Claus Christiansen M.D.

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 651211 (2007) https://doi.org/10.1117/12.709862
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Osteoarthritis (OA) is a degenerative joint disease characterized by articular cartilage degradation. A central problem in clinical trials is quantification of progression and early detection of the disease. The accepted standard for evaluating OA progression is to measure the joint space width from radiographs however; there the cartilage is not visible. Recently cartilage volume and thickness measures from MRI are becoming popular, but these measures don't account for the biochemical changes undergoing in the cartilage before cartilage loss even occurs and therefore are not optimal for early detection of OA. As a first step, we quantify cartilage homogeneity (computed as the entropy of the MR intensities) from 114 automatically segmented medial compartments of tibial cartilage sheets from Turbo 3D T₁sequences, from subjects with no, mild or severe OA symptoms. We show that homogeneity is a more sensitive technique than volume quantification for detecting early OA and for separating healthy individuals from diseased. During OA certain areas of the cartilage are affected more and it is believed that these are the load-bearing regions located at the center of the cartilage. Based on the homogeneity framework we present an automatic technique that partitions the region on the cartilage that contributes to maximum homogeneity discrimination. These regions however, are more towards the noncentral regions of the cartilage. Our observation will provide valuable clues to OA research and may lead to improving treatment efficacy.

Citation Download Citation

Arish A. Qazi, Erik B. Dam, Ole F. Olsen, Mads Nielsen, and Claus Christiansen M.D. "Automatic detection of diseased regions in knee cartilage", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651211 (3 March 2007); https://doi.org/10.1117/12.709862

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