Tibial Cartilage

Tibial cartilage research focuses on accurately modeling and analyzing its structure and function, primarily to improve diagnosis and treatment of osteoarthritis and related joint conditions. Current research employs advanced image analysis techniques, including deep learning models like U-Net and Transformer networks, coupled with statistical shape modeling and novel registration algorithms, to achieve precise segmentation and quantification of cartilage morphology from various imaging modalities (MRI, CT, ultrasound). These advancements enable more accurate biomechanical modeling of the knee joint, facilitating improved surgical planning (e.g., total knee arthroplasty) and the development of biomimetic cartilage substitutes for robotic applications. Ultimately, this work aims to enhance the understanding and treatment of cartilage degeneration and improve patient outcomes.