Literature DB >> 29990129

Deformable Models for Surgical Simulation: A Survey.

Jinao Zhang, Yongmin Zhong, Chengfan Gu.   

Abstract

This paper presents a survey of the state-of-the-art deformable models studied in the literature, with regard to 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.

Mesh:

Year:  2017        PMID: 29990129     DOI: 10.1109/RBME.2017.2773521

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  3 in total

1.  Soft tissue deformation modelling through neural dynamics-based reaction-diffusion mechanics.

Authors:  Jinao Zhang; Yongmin Zhong; Chengfan Gu
Journal:  Med Biol Eng Comput       Date:  2018-05-30       Impact factor: 2.602

2.  Concepts and Trends n Autonomy for Robot-Assisted Surgery.

Authors:  Paolo Fiorini; Ken Y Goldberg; Yunhui Liu; Russell H Taylor
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2022-06-23       Impact factor: 14.910

3.  Soft Tissue Hybrid Model for Real-Time Simulations.

Authors:  Mario R Moreno-Guerra; Oscar Martínez-Romero; Luis Manuel Palacios-Pineda; Daniel Olvera-Trejo; José A Diaz-Elizondo; Eduardo Flores-Villalba; Jorge V L da Silva; Alex Elías-Zúñiga; Ciro A Rodriguez
Journal:  Polymers (Basel)       Date:  2022-03-30       Impact factor: 4.329

  3 in total

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