Title: Visualisation of meniscus from knee joint MRI and assessment of its size differences due to age, gender and BMI
Authors: M.S. Mallikarjunaswamy; Mallikarjun S. Holi; Rajesh Raman; J.S. Sujana Theja
Addresses: Department of Electronics and Instrumentation, J S S Science & Technology University, Mysuru – 570006, Karnataka, India ' Department of Electronics and Instrumentation Engineering, University B.D.T. College of Engineering, Constituent College of VTU, Belagavi, Davangere – 577004, Karnataka, India ' Department of Radio-Diagnosis, J S S Medical College and Hospital, J S S Academy of Higher Education and Research, Mysuru – 570015, Karnataka, India ' J S S Medical College and Hospital, J S S Academy of Higher Education and Research, Mysuru – 570006, Karnataka, India
Abstract: Menisci play a major role in cushioning and distributing the stress due to body weight over the cartilage surface of femur and tibia. They also contribute in joint lubrication and provide stability for the joint with the support of ligaments. It is essential to quantify the size and volume of the meniscus in treatment of injured and discoid meniscus. Visualisation of menisci using MRI is helpful in understanding location of menisci tears and degradation. In this work, menisci were segmented from knee joint MRI using seeded region growing algorithm and volume rendered for 3D visualisation. The menisci are quantified using image processing method. The noninvasive method of visualisation and quantification of menisci is useful for diagnosis and surgical planning of diseased knee joints especially elderly people and sports injured. Influencing factors for size difference in menisci due to age, gender and BMI is analysed using statistical methods.
Keywords: knee joint; meniscus; magnetic resonance imaging; body mass index; segmentation; menisci volume; volume rendering; 3D visualisation; seeded region growing; menisci quantification.
International Journal of Bioinformatics Research and Applications, 2021 Vol.17 No.3, pp.275 - 287
Received: 13 Feb 2019
Accepted: 03 Jun 2019
Published online: 13 Aug 2021 *