Open Access

ARTICLE

A Real-time Cutting Model Based on Finite Element and Order Reduction

Xiaorui Zhang^1,2,*, Wenzheng Zhang², Wei Sun³, Hailun Wu², Aiguo Song⁴, Sunil Kumar Jha⁵

1 Wuxi Research Institute, Nanjing University of Information Science & Technology, Wuxi, 214100, China
2 Engineering Research Center of Digital Forensics, Ministry of Education, Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China
3 School of Automation, Nanjing University of Information Science & Technology, Nanjing, 210044, China
4 State Key Laboratory of Bioelectronics, Jiangsu Key Lab of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China
5 IT Fundamentals and Education Technologies Applications, University of Information Technology and Management in Rzeszow, Rzeszow Voivodeship, 100031, Poland

* Corresponding Author: Xiaorui Zhang. Email:

Computer Systems Science and Engineering 2022, 43(1), 1-15. https://doi.org/10.32604/csse.2022.024950

Received 05 November 2021; Accepted 24 December 2021; Issue published 23 March 2022

Abstract

Telemedicine plays an important role in Corona Virus Disease 2019 (COVID-19). The virtual surgery simulation system, as a key component in telemedicine, requires to compute in real-time. Therefore, this paper proposes a real-time cutting model based on finite element and order reduction method, which improves the computational speed and ensure the real-time performance. The proposed model uses the finite element model to construct a deformation model of the virtual lung. Meanwhile, a model order reduction method combining proper orthogonal decomposition and Galerkin projection is employed to reduce the amount of deformation computation. In addition, the cutting path is formed according to the collision intersection position of the surgical instrument and the lesion area of the virtual lung. Then, the Bezier curve is adopted to draw the incision outline after the virtual lung has been cut. Finally, the simulation system is set up on the PHANTOM OMNI force haptic feedback device to realize the cutting simulation of the virtual lung. Experimental results show that the proposed model can enhance the real-time performance of telemedicine, reduce the complexity of the cutting simulation and make the incision smoother and more natural.

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Keywords

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