WCSE

Principal Component Analysis of Distal Femur Based on Statistical Shape Model

Abstract— Knee replacement surgery is currently the primary treatment for end-stage knee osteoarthritis. However, joint replacement surgery still has a high rate of dissatisfaction. One of the reasons is that the prosthesis system does not fit the anatomy of Chinese people. For handling this problem, we study the morphological characteristics of the distal femur, which helps design individualized prosthesis systems. Firstly, the point cloud models of femur samples of Chinese people were derived from the CT scan data by Mimics software. And then, the point cloud models were roughly matched by FPFH (Fast Point cloud Feature Histogram) before the fine registration by ICP (Iterative Closest Point), and by doing so, the average model and correspondence of points were obtained. Finally, the Principal Component Analysis (PCA) was conducted to analyze the morphological characteristics of the distal femur and build the Statistical Shape Model (SSM) of the set of distal femur samples. It is found that the most significant morphological characteristics of the distal femur can be listed in the following order: The volume size, the mediolateral and anteroposterior sizes of the femur, curvature from the femoral shaft to medial and lateral condyle, curvature of the anterior and posterior condyle, width and depth of the trochlear groove, etc. These results will guide the local improvement of the existing prosthesis and provide the basic reference to the new design of the multi-class prosthesis system.

Index Terms— femur, fast point feature histogram, iterative closest point, principal component analysis, statistical shape model.

Pengyu Zhan
Xi'an University of Posts and Telecommunications School of Computing
Jungang Han
Xi'an University of Posts and Telecommunications School of Computing
Zhe Li
The Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Department of Boneand Joint Surgery
Pei Yang
The Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Department of Boneand Joint Surgery
Jiayu Yang
Xi'an University of Posts and Telecommunications School of Computing
Dan Han
Xi'an University of Posts and Telecommunications School of Computing

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Cite: Pengyu Zhan, Jungang Han, Zhe Li, Pei Yang, Jiayu Yang, Dan Han, " Principal Component Analysis of Distal Femur Based on Statistical Shape Model, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 685-691, Sanya, China, April 15-18, 2022.