Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
After total knee arthroplasty (TKA), analyzing the implanted knee kinematics is very considerable problem in the research area of orthopaedics. There are some studies based on 2-D/3-D image registration of 2-D X-ray fluoroscopy images and 3-D geometrical model of knee implant. However, these conventional studies are classified into statics image analysis, and there are a few studie for dynamic images analysis with continuous knee movement. In addition, the conventional studies have a problem of falling into local maxima in high-dimensional search space. And the estimated result did not consider continuous knee movement. This paper proposes a method for analyzing continuously implanted knee kinematics based on particle filter. The proposed method searches 3-D pose position parameter using multiple candidate parameters by particle filter, and estimates 3-D pose position of the implanted knee joint using 2-D/3-D image registration. The experimental results showed that the proposed method analyzed the continuous movement of the knee joint and estimated the knee joint angles.