2018
DOI: 10.1016/j.ijthermalsci.2018.08.008
|View full text |Cite
|
Sign up to set email alerts
|

Implementation of a thermomechanical model to simulate laser heating in shrinkage tissue (effects of wavelength, laser irradiation intensity, and irradiation beam area)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
23
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 30 publications
(25 citation statements)
references
References 29 publications
2
23
0
Order By: Relevance
“…Existing experimental studies available in literature have highlighted that the exposure of biological tissue to elevated temperatures (> 50 o C) during thermal ablative procedures can result in varying degree of mechanical deformation (including both expansion and contraction) within the tissue [24][25][26][27][28][29][30][31][32][33][34][35][36]. Several computational studies have also been reported to capture such mechanical deformations, but mainly limited to only thermal expansion [37][38][39][40][41][42][43]. Importantly, ignorance of the impact of tissue contraction/shrinkage during thermal ablative procedures has resulted in significant underestimation of the predicted ablation volume (see, e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Existing experimental studies available in literature have highlighted that the exposure of biological tissue to elevated temperatures (> 50 o C) during thermal ablative procedures can result in varying degree of mechanical deformation (including both expansion and contraction) within the tissue [24][25][26][27][28][29][30][31][32][33][34][35][36]. Several computational studies have also been reported to capture such mechanical deformations, but mainly limited to only thermal expansion [37][38][39][40][41][42][43]. Importantly, ignorance of the impact of tissue contraction/shrinkage during thermal ablative procedures has resulted in significant underestimation of the predicted ablation volume (see, e.g.…”
Section: Discussionmentioning
confidence: 99%
“…The displacements 𝐔(𝐱) 𝑑+βˆ†π‘‘ at the next time step can be computed based on the explicit central-difference scheme [63], yielding (23) where 𝐟 𝑒 π‘‘β„Žπ‘’π‘Ÿβˆ’π‘’π‘™π‘Žπ‘  is the vector of nodal forces due to thermal and elastic stresses in an element 𝑒, and 𝐟 π‘‘β„Žπ‘’π‘Ÿβˆ’π‘’π‘™π‘Žπ‘  is the vector of global nodal forces. 𝐟 𝑒 π‘‘β„Žπ‘’π‘Ÿβˆ’π‘’π‘™π‘Žπ‘  0 𝑑 can be computed by…”
Section: Formulation For Soft Tissue Deformations Due To Thermal Expa...mentioning
confidence: 99%
“…Most of the reported methods [20,21] were focused on sophisticated thermo-elastic models but failed to consider computational speed where solutions are often computationally expensive to obtain (e.g., KrΓΆger et al [22] reported a simulation of an 8 minutes RFA in three-dimensional (3D) space took about 6 hours). Some studies were focused on solely the steady-state thermo-elastic analysis [23], which ignored the transient thermo-elastic response of soft tissues in dynamics. Finally, some works considered only homogeneous and isotropic material properties with linear thermo-elasticity [21,23] or linear thermo-visco-elasticity [24].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For instance, Wong Chadakul et al (2018) developed a numerical model based on the finite element method (FEM) for thermal-mechanical deformation of 3-layered skin during laser-induced thermotherapy. They presented optimum skin treatment conditions by varying the wavelength, laser irradiation intensities, irradiation beam area, and blood perfusion rate [14]. Keangin et al (2019) presented a simulation for liver cancer treated using a microwave coaxial antenna and included the deformation analysis to approach realistic tissue modeling [15].…”
Section: Introductionmentioning
confidence: 99%