Intelligent Medical Information Computing Laboratory

Dalian University of Technology 

Department of software engineering

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Modeling of Personalized Knee Prosthesis Based on CT Images

Research Objective:

Based on the CT image data sets of several groups of healthy volunteers' knee joints, the average knee joint model without individual differences was established, and then the closest average model was found and adjusted according to some physiological characteristics of specific patients.

1. Grouping and denoising
In view of the difference of human bone size, the CT data of healthy volunteers were divided into several groups according to height, weight and other factors, and the original data were processed with noise.

2. Average and motion simulation optimization:
The average model of each group was constructed to avoid the influence of the individual specificity of healthy volunteers, and then the model was optimized by simulating the rotation of the knee joint.

3. Matching, generation and evaluation:
Extract a physiological characteristic line of the case, and compare it with the model of multiple sizes to find the most matching model, and make micro adjustment according to the small difference between the physiological characteristic lines.