Real-time simulation for multi-component biomechanical analysis using localized tissue constraint progressive transfer learning

Jiaxi Jiang, Tianyu Fu*, Jiaqi Liu, Yuanyuan Wang, Jingfan Fan, Hong Song, Deqiang Xiao, Yongtian Wang*, Jian Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In virtual surgical training, it is crucial to achieve real-time, high-fidelity simulation of the tissue deformation. The anisotropic and nonlinear characteristics of the organ with multi-component make accurate real-time deformation simulation difficult. A localized tissue constraint progressive transfer learning method is proposed in this paper, where the base-compensated dual-output transfer learning strategy and the localized tissue constraint progressive learning architecture are developed. The proposed strategy enriches the multi-component biomechanical dataset to fully represent complex force-displacement with minimal high-quality data. Meanwhile, the proposed architecture adopts focused and progressive model to accurately describe tissues with varied biomechanical properties rather than singular homogeneous model. We made comparison with 4 state-of-the-art (SOTA) methods in simulating multi-component biomechanical deformations of organs with 100 pairs of testing data. Results show that the accuracy of our method is 50% higher than other methods in different validation matrix. And our method can stably simulate the deformations in 0.005 s per frame, which largely improves the computing efficiency.

Original languageEnglish
Article number106682
JournalJournal of the Mechanical Behavior of Biomedical Materials
Volume158
DOIs
Publication statusPublished - Oct 2024

Keywords

  • Biomechanical analysis
  • Finite element method
  • Multi-component
  • Process-learning
  • Tissue deformation
  • Transfer-learning

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Jiang, J., Fu, T., Liu, J., Wang, Y., Fan, J., Song, H., Xiao, D., Wang, Y., & Yang, J. (2024). Real-time simulation for multi-component biomechanical analysis using localized tissue constraint progressive transfer learning. Journal of the Mechanical Behavior of Biomedical Materials, 158, Article 106682. https://doi.org/10.1016/j.jmbbm.2024.106682