A Computational Physics Engine for Modeling and Simulating Thermal Laser-Tissue Dynamics in Surgery

This paper presents a computational model, based on the Finite Element Method (FEM), that simulates the thermal response of laser-irradiated tissue. This model seeks to address a gap in the current ecosystem of surgical robot simulators, which generally lack support for lasers and other energy-based end effectors. In the proposed model, the thermal dynamics of the tissue are calculated as the solution to a heat conduction problem with appropriate boundary conditions. The FEM formulation allows the model to capture complex phenomena, such as convection, which is crucial for creating realistic simulations. The accuracy of the model was verified via benchtop laser-tissue interaction experiments using agar tissue phantoms and ex-vivo chicken muscle. The results revealed an average Root-Mean-Square Error (RMSE) of less than 1.5 ∘ C across most experimental conditions.

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Publication Details

Journal
Journal of Medical Robotics Research
Published
2025-12-20
DOI
https://doi.org/10.1142/s2424905x26400027
Primary Topic
Thermoelastic and Magnetoelastic Phenomena
Type
article
Field-Weighted Citation Impact
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article

A Computational Physics Engine for Modeling and Simulating Thermal Laser-Tissue Dynamics in Surgery

Kateryna Kushnir, Nicholas Pacheco, Loris Fichera, Christopher J. Pacheco et al.
Journal of Medical Robotics Research
Thermoelastic and Magnetoelastic Phenomena
article

A Computational Physics Engine for Modeling and Simulating Thermal Laser-Tissue Dynamics in Surgery

Kateryna Kushnir, Nicholas Pacheco, Loris Fichera, Christopher J. Pacheco, Kang Zhang
article en

Abstract

This paper presents a computational model, based on the Finite Element Method (FEM), that simulates the thermal response of laser-irradiated tissue. This model seeks to address a gap in the current ecosystem of surgical robot simulators, which generally lack support for lasers and other energy-based end effectors. In the proposed model, the thermal dynamics of the tissue are calculated as the solution to a heat conduction problem with appropriate boundary conditions. The FEM formulation allows the model to capture complex phenomena, such as convection, which is crucial for creating realistic simulations. The accuracy of the model was verified via benchtop laser-tissue interaction experiments using agar tissue phantoms and ex-vivo chicken muscle. The results revealed an average Root-Mean-Square Error (RMSE) of less than 1.5 ∘ C across most experimental conditions.

Journal of Medical Robotics Research
Worcester Polytechnic Institute (US)
Openalex Percentile: Top 43%
Thermoelastic and Magnetoelastic Phenomena
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