Comparative Analysis of Finite Element Method Solvers in Computational Blood Flow Investigations DOI
S. Shankar Narayan,

Rohan Rajendra,

N Jayajevaa

et al.

Published: Dec. 15, 2022

Mathematical modeling is the current trend to solve a complex time-dependent or stationary problem under investigation. The models enclosed in study are often solved using numerical techniques rather than traditional analytical techniques. used available researcher an embedded form through solvers. As nearly all phenomena can be modeled as partial differential equation systems, Finite Element Methods frequently structured mathematical model. In present study, analysis of several solvers (both free well commercial) research field pertaining (FEM) explored. comprises distinguishing flow conditions integrating mechanical properties arterial walls. investigation presents variety FEM computationally simulate close-to clinical and physiological conditions. advantages drawbacks solver contrast with others enlisted aid researchers selection suitable solver. review usage articulated concerning blood segment. To best authors' knowledge, idea surveying studies demonstrates novelty study.

Language: Английский

Nonlocal Models in Biology and Life Sciences: Sources, Developments, and Applications DOI Creative Commons
Swadesh Pal, Roderick Melnik

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: 53, P. 24 - 75

Published: Feb. 27, 2025

Language: Английский

Citations

2

Refining thermal therapy: Temperature distribution modeling with distinct absorption in multi-layered skin tissue during infrared laser exposure DOI Creative Commons
Mohammad Azhdari, Ghader Rezazadeh, Lena Lambers

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 157, P. 107818 - 107818

Published: July 19, 2024

Laser therapies embody cutting-edge advances in non-invasive medical techniques. This study concentrates on enhancing precision thermal therapy via a modeling approach for the investigation of intricate interplay between laser radiation and complex layers human skin. Our method involves representation skin as three layers—epidermis, dermis, subcutaneous tissue—and strategically changing range wavelengths. We explore subtle workings absorption extinction coefficients, with specific focus unraveling scattering dynamics these layers. The purpose this research is to advance development therapies, facilitating precise targeting tissue depths. To simulate heat distribution multilayered tissue, we use stepwise Heaviside Function outline optical properties. also incorporate three-phase lag model capture finite speed conduction, delayed response, heterogeneous characteristics tissue. solution governing equation, obtained numerical simulation, indicates possibility selecting optimal wavelengths characteristics. Based results, most types lasers different are absorbed first layer then second layer. There few that can pass through cause significant temperature increase third because some components common.This enables us attain desired temperatures at depths within advancing our comprehension customized interventions procedures involving technology.

Language: Английский

Citations

7

Non-Fourier Bioheat Transfer Analysis in Brain Tissue During Interstitial Laser Ablation: Analysis of Multiple Influential Factors DOI Creative Commons
Sundeep Singh, Leonardo Bianchi, Sanzhar Korganbayev

et al.

Annals of Biomedical Engineering, Journal Year: 2024, Volume and Issue: 52(4), P. 967 - 981

Published: Jan. 18, 2024

This work presents the dual-phase lag-based non-Fourier bioheat transfer model of brain tissue subjected to interstitial laser ablation. The finite element method has been utilized predict tissue's temperature distributions and ablation volumes. A sensitivity analysis conducted quantify effect variations in input power, treatment time, fiber diameter, wavelength, phase lags. Notably, this work, temperature-dependent thermal properties have considered. developed validated by comparing obtained from numerical ex vivo during further extended settings incorporating blood perfusion effects. results systematic highlight importance considering tissue, behavior, microvascular effects computational models for accurate predictions outcomes ablation, thereby minimizing damage surrounding healthy tissue. parametric reported study would assist a more precise prediction distribution, thus allowing optimize dosage therapy brain.

Language: Английский

Citations

6

Biomechanical response of skin tissue under ramp-type heating by incorporating a modified bioheat transfer model and the Atangana–Baleanu fractional operator DOI
Mohamed Salem, Ahmed E. Abouelregal, Mohamed E. Elzayady

et al.

Acta Mechanica, Journal Year: 2024, Volume and Issue: 235(8), P. 5041 - 5060

Published: June 4, 2024

Language: Английский

Citations

6

Temperature Dependence of Thermal Properties of Ex Vivo Porcine Heart and Lung in Hyperthermia and Ablative Temperature Ranges DOI Creative Commons
Leonardo Bianchi,

Martina Bontempi,

Sabrina De Simone

et al.

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 51(6), P. 1181 - 1198

Published: Jan. 19, 2023

This work proposes the characterization of temperature dependence thermal properties heart and lung tissues from room up to > 90 °C. The diffusivity (α), conductivity (k), volumetric heat capacity (Cv) ex vivo porcine hearts deflated lungs were measured with a dual-needle sensor technique. α k associated tissue remained almost constant until ~ 70 80 °C, accordingly. Above more substantial variation in these was registered: at 94 respectively experienced 2.3- 1.5- fold increase compared their nominal values, showing average values 0.346 mm2/s 0.828 W/(m·K), Conversely, Cv 55 °C decreased afterward (e.g., = 2.42 MJ/(m3·K) °C). Concerning tissue, both its characterized by an exponential temperature, marked increment supraphysiological ablative temperatures (at 91 equal 2.120 2.721 respectively, i.e., 13.7- 13.1-fold higher baseline values). Regression analysis performed attain best-fit curves interpolating data, thus providing models investigated properties. These can be useful for increasing accuracy simulation-based preplanning frameworks interventional procedures, realization tissue-mimicking materials.

Language: Английский

Citations

12

Magnetic hyperthermia in tissue-like media: Finite element simulation, experimental validation, parametric variations, and calibration studies DOI Creative Commons
B.B. Lahiri, Fouzia Khan,

Srujana Mahendravada

et al.

Journal of Applied Physics, Journal Year: 2024, Volume and Issue: 135(8)

Published: Feb. 26, 2024

We report the experimental characterization and finite element modeling of magnetic fluid hyperthermia (MFH) in tissue-like media using tetramethyl ammonium hydroxide coated superparamagnetic iron oxide nanoparticles (MNPs) size ∼19.6 ± 1.2 nm, prepared a co-precipitation technique. MFH properties are probed for MNPs ∼1 wt. % agar, resembling tumor surrounding normal tissues. The field-induced temperature rise (ΔT) is experimentally measured real-time utilizing an infrared camera. A model (FEM) utilized to simulate spatiotemporal variations thermal profiles, which found be good agreement with data. FEM-based parametric studies reveal that conductivity medium most significant parameter influencing profiles. profiles numerically studied seven different tissues, obtained results indicate highest ΔT breast tissue regions, due lowest volumetric specific heat tissue, respectively. Numerical on sub-surface tumors parametrically varying depths strong exponential correlation between surface temperature, where regression coefficients correlated thermo-physical findings beneficial developing simplistic easily deployable framework priori generation various tissues during MFH, useful appropriate planning selection MFH-based therapy.

Language: Английский

Citations

4

Numerical analysis of biological tissue heating using the dual-phase lag equation with temperature – dependent parameters DOI Creative Commons
Ewa Majchrzak,

Mikołaj Stryczyński

Journal of Applied Mathematics and Computational Mechanics, Journal Year: 2022, Volume and Issue: 21(3), P. 85 - 98

Published: Sept. 1, 2022

Journal of Applied Mathematics and Computational Mechanics, Prace Naukowe Instytutu Matematyki i Informatyki, Politechnika Częstochowska, Scientific Research the Institute Computer Science, Czestochowa University Technology

Language: Английский

Citations

6

Heat transfer analysis for tissue with surface heat flux based on the non-linearized form of the three-phase-lag model DOI

Kuo‐Chi Liu,

Jin-Sheng Leu

Journal of Thermal Biology, Journal Year: 2023, Volume and Issue: 112, P. 103436 - 103436

Published: Jan. 20, 2023

Language: Английский

Citations

3

Some characteristic properties of the solutions in the three-phase-lag heat conduction DOI
Stan Chiriţă

Journal of Thermal Stresses, Journal Year: 2023, Volume and Issue: 47(2), P. 143 - 163

Published: Dec. 13, 2023

In this paper we consider the three-phase-lag model of heat conduction that involves second-order effects in phase lag flux vector. This leads to a fourth-order time equation Moore–Gibson–Thompson type. We use thermodynamic restrictions derived from compatibility constitutive with Second Law Thermodynamics study properties solutions initial boundary value problems associated concern. connection establish series well-posedness results concerning related like: uniqueness, continuous data dependence, exponentially stability or domain influence. Furthermore, based on restrictions, show thermal question admits damped propagating waves as well decaying standing modes. also when are not fulfilled, then wave appear cause energy blows up goes infinity.

Language: Английский

Citations

2

Advancing Bioheat Transfer Simulations: A GPU-Accelerated ADI-Finite Difference Method in Medical Applications DOI
Yuming Chen, Qixuan Wang, Congsheng Li

et al.

Published: May 31, 2024

Language: Английский

Citations

0