Proceedings of the Fuzzy System Symposium
26th Fuzzy System Symposium
Session ID : WG1-1
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3-D Implanted Knee Kinematics Analysis in DR images Based on Particle Filter
*Yusuke NakajimaSyoji KobashiNao ShibanumaFumiaki ImamuraKei KuramotoSeturo ImawakiShinichi YoshiyaYutaka Hata
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Abstract

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.

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© 2010 Japan Society for Fuzzy Theory and Intelligent Informatics
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