Advancing Virtual Surgery with Hybrid Soft Tissue Simulation Models

This article introduces a novel approach to soft tissue simulation for medical training and surgical planning. By integrating precise finite element model parameters with efficient spring models, we have achieved simulations that maintain computational efficiency and accurate feedback force calculations. The introduction of position-based dynamic constraints enhances the stability of the model during simulation, addressing common challenges in real-time medical simulations. Our approach offers a promising solution for realistic and practical applications within virtual surgical platforms.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/wrrc62201.2024.10696799
Citations
1
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.57

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article

Advancing Virtual Surgery with Hybrid Soft Tissue Simulation Models

J.N. Wang, Hao Wu, Han Yang
1 citations
Surgical Simulation and Training
0.57
article

Advancing Virtual Surgery with Hybrid Soft Tissue Simulation Models

J.N. Wang, Hao Wu, Han Yang
article en
1 citations

Abstract

This article introduces a novel approach to soft tissue simulation for medical training and surgical planning. By integrating precise finite element model parameters with efficient spring models, we have achieved simulations that maintain computational efficiency and accurate feedback force calculations. The introduction of position-based dynamic constraints enhances the stability of the model during simulation, addressing common challenges in real-time medical simulations. Our approach offers a promising solution for realistic and practical applications within virtual surgical platforms.

Shanghai University (CN), Shanghai Jiao Tong University (CN)
National Key Research and Development Program of China, Guangzhou Science and Technology Innovation Center
Openalex Percentile: Top 29%
Surgical Simulation and Training
0.57
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