The developed methods can be used as helping tool in the assessment of cartilage degradation in OA affected knee joint patients and treatment planning.ģD visualization Knee joint diseases body mass index magnetic resonance imaging osteoarthritis. Cartilage volume correlates with the progression of the disease and can be used for the evaluation of the response to therapies. The cartilage thickness and volume is significantly low for people with age 50 years and above and Body Mass Index (BMI) equal and greater than 25. The results show that size and volume of cartilage are found to be significantly low in OA as compared to normal knee joints. The differences in thickness and volume of cartilage were observed in cartilage in groups based on age, gender and BMI in normal and progressive OA knee joints. Statistical analysis is carried out on processed data set consisting of 110 of knee joints which include male (56) and female (54) of normal (22) and different stages of OA (88). Cartilage thickness and volume were quantified using image processing techniques in OA affected knee joints. Visualization of cartilage helps in the assessment of cartilage degradation in diseased knee joints. Post hoc analysis showed significant differences between MRI and traction MRI for each traction weight (traction weights of 5 kg, 10 kg, and 15 kg p 0.028, 0.018, and 0.018, respectively). In this work, cartilage is segmented from knee joint MRI, visualized in 3D using Volume of Interest (VOI) approach. Visualization of the articular cartilage outline at the medial tibiofemoral joint improved significantly with traction ( p 0.0002). Volume rendering and 3D visualization can provide an overview of anatomy and disease condition of knee joint. We created a knee model that included articular cartilage contact for the tibiofemoral and patellofemoral joints. But there are many challenges in proper visualization and quantification of articular cartilage using MRI. The objective of this study was to assess the use of an advanced collision detection algorithm to simulate cartilage contact pressure patterns within dynamic musculoskeletal simulations of movement. In the present study, a quantitative susceptibility mapping (QSM) approach is evaluated for 3-D visualization of the cartilage canals. Magnetic Resonance Imaging (MRI) is the most widely used imaging modality in the treatment of knee joint diseases. High-resolution, three-dimensional (3-D) visualization of cartilage canals has recently been demonstrated using susceptibility weighted imaging (SWI). The peak contact strain wasseen to occur at the lateral side of the joint for all thesubjects. Theaverage cartilage contact strain over the entire cartilagearea was 7.460.74. The cartilage was segmented into 8 regions through the tibio-femoral and patella-femoral joints. Visualization and quantification of cartilage is very much essential for the assessment of OA and rehabilitation of the affected people. Cartilage contact area covered fromlateral to medial regions of the joint surface. Osteoarthritis (OA) is a degenerative disease of joint cartilage affecting the elderly people around the world.
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