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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Yunnan Normal Univ Yunnan Key Lab Optoelect Informat Technol Kunming 650000 Peoples R China Inst First Peoples Hosp Yunnan Prov Dept Thorac Surg Kunming 650000 Peoples R China Yunnan Normal Univ Engn Res Ctr Photoelect Detect & Percept Technol Kunming 650000 Peoples R China Kunming Univ Sci & Technol Yunnan Key Lab Artificial Intelligence Kunming 650500 Peoples R China
出 版 物:《IEEE TRANSACTIONS ON MULTIMEDIA》 (IEEE Trans Multimedia)
年 卷 期:2025年第27卷
页 面:2206-2220页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:National Natural Science Foundation of China [62365017, 62062070, 62005235] Yunnan Outstanding Youth Fund [202301AW070001] Yunnan provincial Basic Research Fund Key Project [202401AS070038]
主 题:Biological tissues Biological system modeling Finite element analysis Computational modeling Solid modeling Mathematical models Biomechanics Accuracy Real-time systems Deformation Biomechanical modeling real-time feedback soft tissue deformation surgery engine three-parameter mass-ogden mixed model
摘 要:The virtual surgery engine represents a crucial research domain within biomedical and information sciences. To address the real-time and realistic demands of virtual surgical robots for soft tissue deformation and cutting, the surface information and internal structure of organ models have been redefined. An enhanced Three-Parameter Mass-Ogden model, which incorporates nonlinearity and viscoelasticity in soft tissues, has been developed based on extended position dynamics. Cluster constraints for filling particles were introduced to improve the smoothness of surgical procedures. The relaxation and creep characteristics of real soft tissues were accounted for by evaluating the responses of various biological tissues to external stress and loads using the HY-0580 high-performance mechanical testing machine. Eight experiments were conducted for each tissue type, and five sets of valid data were averaged and fitted using the Three-Parameter Mass-Ogden mixed model. Surgical simulations were conducted using Abaqus, incorporating Young s modulus, stress-strain relationships, cutting depth, pressure distribution, real-time feedback, and comprehensive visualization. The model s effectiveness was further validated. The surgical platform was integrated into a virtual reality-based digital twin robot simulator for minimally invasive surgery, achieving a surgical operation refresh rate of 78.5 Hz, a visual refresh rate of 60 Hz, and a haptic feedback refresh rate of 1000 Hz. Comparative analysis with the Mass-Spring Model (MSM) and Finite Element Method (FEM) shows our model s superior balance of accuracy and efficiency. MSM is fast but imprecise, while FEM is accurate but computationally intensive.