Motion Analysis of Knee Joint during Lachman Test from Fluoroscopy by Fuzzy Inference
This study proposed an automated motion analysis of knee joint during Laehman test from fluoroscopic data. Identification of the femur and tibia region in fluoroscopic data is important for analysing knee motion. However, it was difficult to identify the femur and tibia region by simple thresholding process, because the contrast of the data is unclear. To overcome the problem, the identification was realized by using:fuzzy inference based on expert knowledge. In the experiment, our proposed method was applied for one male subject with anterior cruciate ligament injury. As a result, the proposed method could measure the anterior translation during Lachman test.
Knee Anterior Cruciate Ligament Fluoroscopy Lachman Test
Kouki Nagamune Hiroshi Sasaki Daisuke Araki Seiji Kubo Ryosuke Kuroda Masahiro Kurosaka
Department of Human/Artificial Intelligent System Graduate School of Engineering, University of Fukn Department of Orthopaedic Surgery Kobe University Graduate School of Medicine Kobe, Japan
国际会议
哈尔滨
英文
41-46
2010-08-01（万方平台首次上网日期，不代表论文的发表时间）