Open Access

ARTICLE

A Three-Stage Cutting Simulation System Based on Mass-Spring Model

Xiaorui Zhang^1,2,*, Jiali Duan¹, Wei Sun², Tong Xu¹, Sunil Kumar Jha³

1 Jiangsu Engineering Center of Network Monitoring, Engineering Research Center of Digital Forensics, Ministry of Education, School of Computer and Soware, Nanjing University of Information Science & Technology, Nanjing, 210044, China
2 Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China
3 Faculty of Information Technology, University of Information Technology and Management, Rzeszow, 35-225, Poland

* Corresponding Author: Xiaorui Zhang. Email:

Computer Modeling in Engineering & Sciences 2021, 127(1), 117-133. https://doi.org/10.32604/cmes.2021.012034

Received 11 June 2020; Accepted 10 December 2020; Issue published 30 March 2021

Abstract

The cutting simulation of soft tissue is important in virtual surgery. It includes three major challenges in computation: Soft tissue simulation, collision detection, and handling, as well as soft tissue models. In order to address the earlier challenges, we propose a virtual cutting system based on the mass-spring model. In this system, MSM is utilized to simulate the soft tissue model. Residual stress is introduced to the model for simulating the shrinking effect of soft tissue in cutting. Second, a cylinder-based collision detection method is used to supervise the collision between surgical tools and soft tissue. Third, we simulate the cutting operation with a three-stage cutting method with swept volume, B´ezier curve, and an algorithm named shortest distance nodes matching method. In order to verify the system performance, we carry out three validation experiments on the proposed system: Cutting accuracy experiment, collision detection validation, and practical cutting evaluation. Experiments indicate that our system can well perform the shrinking effect of soft tissue in cutting. The system has fast and accurate collision detection. Moreover, the system can reconstruct smooth incisions vividly.

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Citations