An automatic intelligent simulation system and method for human bearing joint structure based on medical images

Through modules such as AI image segmentation and semantic recognition, parametric structure processing, and adaptive material assignment, the entire process from medical imaging to mechanical evaluation is automated, solving the problems of time-consuming joint structure information extraction and cumbersome model building in existing technologies. This improves simulation efficiency and the objectivity of results, and supports comparative analysis of multiple processing schemes.

CN122348075APending Publication Date: 2026-07-07JILIN UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JILIN UNIVERSITY
Filing Date
2026-04-10
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

In existing technologies, the extraction of joint structure information from medical images relies on manual identification and segmentation, which is time-consuming and easily affected by subjective factors. Furthermore, the process of establishing joint structure models is cumbersome, making it difficult to achieve integrated automatic processing from images to simulations. It also lacks objectivity and systematicity in parametric simulation and mechanical evaluation of processing schemes.

Method used

The AI ​​image segmentation and semantic recognition module automatically generates tissue semantic tags, and the 3D model is constructed by combining the 3D reconstruction and topology repair module. Different processing schemes are generated through the parametric structure processing simulation module, the adaptive material property assignment module automatically assigns material parameters, and the automatic load and boundary condition generation module automatically generates the conditions required for simulation. Finally, the results are output through the finite element simulation and mechanical evaluation module.

Benefits of technology

It achieves full automation from medical imaging to mechanical assessment, improves simulation efficiency and repeatability, provides digital comparative analysis of multiple processing schemes, and enhances the objectivity of simulation results and their value in supporting clinical decision-making.

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Abstract

The application discloses a kind of based on medical image human body bearing joint structure automation intelligent simulation system and method, belong to medical image processing and biomechanics simulation technical field, including: AI image segmentation and semantic recognition module, three-dimensional reconstruction and topological repair module, parameterized structure processing simulation module, adaptive material attribute assignment module, automatic load and boundary condition generation module and finite element simulation and mechanics evaluation module.Parameterized structure processing simulation module can be based on semantic label according to pre-set rule to generate the contrast model of multiple different processing schemes;Adaptive material attribute assignment module automatically assigns material parameters according to MRI image features through material mapping rules.The application can realize the full-process automation from medical image input to mechanics evaluation output, achieve the technical effects of improving simulation consistency, realizing multi-scheme quantitative comparison and individualized modeling.
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