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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
