Abstract
Total knee arthroplasty (TKA) is an orthopedic surgery for the damaged knee joint. The movement function of the implanted knee joint in vivo has many questions. Therefore, it is important to analyze the knee kinematics in a diagnosis. There are some conventional methods for analyzing kinematics of the implanted knee joint using X-ray fluoroscopic images and 3-D geometrical models of knee implant. However, almost studies were designed for static images, and there are few studies that considers the continuous movement of knee joint in dynamic image. Thus, the estimation results tend to discontinuous between the neighboring frames. This paper proposes an analysis method of the implanted knee kinematics using digital radiography images with kalman filter. Kalman filter analyzes continuous knee movement and improves estimation accuracy. The experimental results showed that the implanted knee joint angles were estimated by the proposed method with a mean estimation error of 0.31 deg.
