Modelling and Simulation of Energy Cutting Tool for Soft Tissue Using a Novel extended Finite Element Method

IF 2.3 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2025-03-04 DOI:10.1002/rcs.70052

Shilun Du, Yingda Hu, Murong Li, Mengruo Shen, Zhen Wang, Yong Lei

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引用次数: 0

Abstract

Background

Energy-based cutting tools combine cutting and haemostasis, making them widely utilised. Accurately predicting tissue deformation during energy-based cutting can provide precise navigation information to enhance surgical outcomes, while existing surgical cutting models focussing on blades-based tools are unable to accurately predict energy cutting deformation.

Methods

This paper aims to propose a novel energy cutting model under different cutting trajectories. First, a stratified discontinuity mechanism-based modelling method of energy cutting is proposed. Second, a parameterised impact zone model is developed for describing complex surgical manipulations using intraoperative trajectories. Third, an incremental cutting computation algorithm and a novel void enrichment function are proposed to enhance the computational efficiency.

Results

The mean absolute deformation errors of numerical and experimental results under various of cutting trajectories are less than 1 mm. The computation efficiency and convergence are also validated.

Conclusions

The desired cutting deformation accuracy is achieved robustly while maintaining computation efficiency.

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.