Dual-phase lag effects on thermal damage to biological tissues caused by laser irradiation

Zhou, Jianhua; Chen, J. K.; Zhang, Kun

doi:10.1016/j.compbiomed.2009.01.002

Cited by 176 publications

(67 citation statements)

References 20 publications

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“…The values of relevant thermal parameters in the calculations are taken from the paper [10] T The adjustment of temperature is one of the functions of blood circulation in a living tissue. The effect of the perfusion rate on the bio-heat transfer is needed to pay attention.…”

Section: Resultsmentioning

confidence: 99%

“…When the spot size of the broad laser beam is much larger than the thickness of the thermally affected zone for the time period of interest, a 1-D model would be sufficient for analyzing the thermal response of the heated medium [10], [11].…”

Section: Problem Formulationmentioning

confidence: 99%

“…For strongly scattering tissues, laser heating is considered as a body heat source and the irradiated surface is regarded as being thermally insulated. The boundary conditions for this case thus become [10] …”

Section: Problem Formulationmentioning

confidence: 99%

“…where A is the frequency factor; E the energy of activation of denaturation reaction; R the universal gas constant, 8.314 J/(mol K); T the absolute temperature of the tissue at the point where Ω is calculated; t 1 the time at the onset of laser exposure; and t f the time when the thermal damage is evaluated [10].…”

Section: Problem Formulationmentioning

confidence: 99%

See 3 more Smart Citations

Analysis of Thermal Damage in a Laser-Irradiated Based on the Non-Fourier Model

Liu¹,

Cheng²,

Wang³

2014

IJET

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Section: Resultsmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of Thermal Damage in a Laser-Irradiated Based on the Non-Fourier Model

Liu¹,

Cheng²,

Wang³

2014

IJET

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show abstract

“…The estimation of the temperature evolution in perfused tissues is a central question for the modeling of several therapies like hyperthermia (radiofrequency [1], high intensity ultrasound [2,3] or laser [4]) or hypothermia cancer treatments [5] or to predict the damage caused by external device i.e. the electromagnetic field of cellular phones [6,7].…”

Section: Introductionmentioning

confidence: 99%

Fast FFT-based bioheat transfer equation computation

Dillenseger

Esneault

2010

Computers in Biology and Medicine

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This paper describes a modeling method of the tissue temperature evolution over time in hyper or hypothermia. The tissue temperature evolution over time is classically described by Pennes' bioheat transfer equation which is generally solved by a finite difference method. In this paper we will present a method where the bioheat transfer equation can be algebraically solved after a Fourier transformation over the space coordinates. As an example, we implemented this method for the simulation of a percutaneous high intensity ultrasound hepatocellular carcinoma curative treatment and compared it with the finite difference method and experimental data.

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Lagging Behavior in Biological Systems

2014

Macro‐ to Microscale Heat Transfer

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Heat and mass transport in biological systems is shown to display lagging behaviors due to the slow processes in the biological components. Bioheat transfer in tissues and bloods, as well as drug delivery in tumor cells are examined to extract the dominating biological/medical parameters that are responsible for the lagging response. The available data in the open literature shows that the phase lags in such biological systems are in the rage from seconds to days. The effect of blood convection gives rise to the thermal Mach number characterizing the lagging response of the second order, which appears as a general feature for biological systems involving three different types of energy carriers. Regardless of the complexity of the processes involved, the phase lag of the temperature (concentration) gradient and the phase lag of the heat (mass) flux vector remain as the two dominating parameters in the lagging response, with the rest appearing as their high-order effects. Equations of motion describing a rapidly stretching spring and transient response between a fin and its surrounding air are revisited to identify the source of lagging via examples that are already familiar to most engineers.As the scale of physical observation continuously shrinks, exemplified by electrons and phonons in metals, different types of energy carriers will gradually appear and the interactions among them will become important prior to reaching equilibrium. Interactions among the energy carriers will take a finite period of time to take place, which is often the cause for the lagging response in heat and mass transport. The lagging response is particularly important in biological/medical applications of ultrafast lasers, Economist (2008) and Zhou et al. (2009a, b), where the laser intensity and pulse duration is competing with the two phase lags in delivering the desired results of laser-based treatment of biological/medical tissues.Biological materials are among the ideal choices for studying the lagging behavior due to their slow responses. Transient response in processed meat was re-examined and characterized by the two phase lags in DPL (Antaki 2005), which may suggest similar behaviors in human tissues (Xu and Liu, 1998; Zhou et al., 2009a, b;Liu and Chen, 2009;Xu et al., 2009;Fan and Wang, 2011). Based on the response of surface temperature, once again, inverse analysis has been a most popular approach in determining the threshold values of τ T and τ q (Tang and Araki, 2000). This chapter is aimed toward demonstrating the lagging behavior from existing models in biological systems: Bioheat transfer between tissue and blood during the nonequilibrium

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Dual-phase lag effects on thermal damage to biological tissues caused by laser irradiation

Cited by 176 publications

References 20 publications

Analysis of Thermal Damage in a Laser-Irradiated Based on the Non-Fourier Model

Analysis of Thermal Damage in a Laser-Irradiated Based on the Non-Fourier Model

Fast FFT-based bioheat transfer equation computation

Lagging Behavior in Biological Systems

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