English

Deformable Models for Surgical Simulation: A Survey

Computational Engineering, Finance, and Science 2019-09-10 v1

Abstract

This paper presents a survey of the state-of-the-art deformable models studied in the literature concerning soft tissue deformable modeling for interactive surgical simulation. It first introduces the challenges of surgical simulation, followed by discussions and analyses on the deformable models, which are classified into three categories: the heuristic modeling methodology, continuum-mechanical methodology, and other methodologies. It also examines linear and nonlinear deformable modeling, model internal forces, and numerical time integrations, together with modeling of soft tissue anisotropy, viscoelasticity, and compressibility. Finally, various issues in the existing deformable models are discussed to outline the remaining challenges of deformable models in surgical simulation.

Keywords

Cite

@article{arxiv.1909.03363,
  title  = {Deformable Models for Surgical Simulation: A Survey},
  author = {Jinao Zhang and Yongmin Zhong and Chengfan Gu},
  journal= {arXiv preprint arXiv:1909.03363},
  year   = {2019}
}

Comments

Published in IEEE Reviews in Biomedical Engineering

R2 v1 2026-06-23T11:08:44.498Z