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Automatic knee joint segmentation using Douglas-Rachford splitting method

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Abstract

In the medical field, magnetic resonance imaging (MRI) scans are widely used for conducting research in osteoarthritis and to study about the disease of a patient. Still the MRI scans provide the details of the knee joint image of a patient, it is difficult to perform quantification of bone, cartilage, and meniscus regions. A fully automatic segmentation is required to segment knee joint, cartilage images from the MRI scan is necessary to reduce manual intervention. In this work, an automatic segmentation technique based on the proximal splitting method is presented. Douglas-Rachford splitting algorithm is employed in this paper. The knee joint structures are analyzed and the cartilage region is segmented. Then the quantization of the cartilage region is performed in which several morphological measures are computed. These measures are used to find out the growth of OA and the effects of drugs on OA.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Anand Nagar Krishnankoil. Srivilliputtur, Virudhunagar District, Tamil Nadu, 626126, India

    C. Rini, B. Perumal & M. Pallikonda Rajasekaran

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  1. C. Rini
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  2. B. Perumal
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  3. M. Pallikonda Rajasekaran
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Correspondence to C. Rini.

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Rini, C., Perumal, B. & Rajasekaran, M.P. Automatic knee joint segmentation using Douglas-Rachford splitting method. Multimed Tools Appl 79, 6599–6621 (2020). https://doi.org/10.1007/s11042-019-08303-8

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