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Knee Joint

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Related Experiment Video

Updated: Jun 27, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

[Research on point cloud smoothing in knee joint prosthesis modeling based on reverse engineering].

Guoliang Zhang¹, Jin Yao, Xing Wei

¹School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|November 26, 2008

Summary

This study introduces a novel reverse engineering method for knee joint prostheses, enhancing accuracy and smoothness. The developed algorithm improves point cloud data processing for better prosthesis modeling and localization.

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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

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Last Updated: Jun 27, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

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Published on: April 11, 2018

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Area of Science:

Biomedical Engineering
Computer-Aided Design
Reverse Engineering

Context:

Clinical use of foreign standard knee joint prostheses is prevalent.
Accurate biological characteristic representation is crucial for knee joint prostheses.
Existing methods may lack precision in data acquisition and surface modeling.

Purpose:

To present a novel positioning method for acquiring point data on knee joint prosthesis surfaces.
To develop an algorithm for noise error removal and correction using the three-point angle method and least squares plane.
To generate an accurate and smooth surface model of knee joint prostheses.

Summary:

This paper utilizes reverse engineering technology to develop a new method for acquiring point data on knee joint prosthesis surfaces.
A three-point angle algorithm based on the least squares plane is proposed for noise error removal and point cloud smoothing.
The method generates a highly accurate and smooth surface model, facilitating the creation of precise knee joint prosthesis models.

Impact:

Provides a basis for accurate localization of knee joint prostheses.
Enables the generation of improved knee joint prosthesis models.
Applicable to surface modeling of regular shapes and surfaces with gentle curvature changes.