Three-Dimensional Modeling of Heart Soft Tissue Motion
Source abstract
Abstract
The modeling and simulation of biological tissue is the core part of a virtual surgery system. In this study, the geometric and physical methods related to soft tissue modeling were investigated. Regarding geometric modeling, the problem of repeated inverse calculations of control points in the Bezier method was solved via re-parameterization, which improved the calculation speed. The base surface superposition method based on prior information was proposed to make the deformation model not only have the advantages of the Bezier method but also have the ability to fit local irregular deformation surfaces. Regarding physical modeling, the fitting ability of the particle spring model to the anisotropy of soft tissue was improved by optimizing the topological structure of the particle spring model. Then, the particle spring model had a more extensive nonlinear fitting ability through the dynamic elastic coefficient parameter. Finally, the secondary modeling of the elastic coefficient based on the virtual body spring enabled the model to fit the creep and relaxation characteristics of biological tissue according to the elongation of the virtual body spring.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: 3D Shape Modeling and Analysis · Soft Robotics and Applications · Anatomy and Medical Technology
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou 325000, China
School of Automation, University of Electronic Science and Technology of China, Chengdu 610054, China
College of Resource and Environment Engineering, Guizhou University, Guiyang 550025, China
Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA
Funding
Sichuan Science and Technology Program
References (29)
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