A numerical study on dual-phase-lag model of bio-heat transfer during hyperthermia treatment. (April 2015)

• Record Type: Journal Article
• Authors: Kumar, P.; Kumar, Dinesh; Rai, K.N.
• Is Part Of: Journal of thermal biology. Volume 49/50(2015)
• Page Start: 98
• Page End: 105
• Publication Date: 2015-04
• Subjects: DPL bio-heat conduction model -- Finite element wavelet Galerkin method -- Boundary condition -- Gaussian distribution -- Hyperthermia; Thermobiology -- Periodicals; Temperature -- Periodicals; Biology -- Periodicals; Thermobiologie -- Périodiques; Thermobiology; Periodicals; 571.46
• DOI: 10.1016/j.jtherbio.2015.02.008
• Languages: English
• ISSNs: 0306-4565

Abstract

Abstract: The success of hyperthermia in the treatment of cancer depends on the precise prediction and control of temperature. It was absolutely a necessity for hyperthermia treatment planning to understand the temperature distribution within living biological tissues. In this paper, dual-phase-lag model of bio-heat transfer has been studied using Gaussian distribution source term under most generalized boundary condition during hyperthermia treatment. An approximate analytical solution of the present problem has been done by Finite element wavelet Galerkin method which uses Legendre wavelet as a basis function. Multi-resolution analysis of Legendre wavelet in the present case localizes small scale variations of solution and fast switching of functional bases. The whole analysis is presented in dimensionless form. The dual-phase-lag model of bio-heat transfer has compared with Pennes and Thermal wave model of bio-heat transfer and it has been found that large differences in the temperature at the hyperthermia position and time to achieve the hyperthermia temperature exist, when we increase the value of τ T . Particular cases when surface subjected to boundary condition of 1st, 2nd and 3rd kind are discussed in detail. The use of dual-phase-lag model of bio-heat transfer and finite element wavelet Galerkin method as a solution method helps in precise prediction of temperature. Gaussian distribution source term helps in control of temperature during hyperthermia treatment. So, it makes this study more useful for clinical applications. Abstract : Highlights: DPL constitutive relation has been used to derive bioheat transfer equation that captures the microscale responses in both time and space. A hybrid numerical scheme FEWGM has been used to solve DPL bioheat equation which takes advantage of multi-resolution and multi-scale property of Legendre wavelet which localizes small scale variation of solution and fast switching of functional basis. The selection of Gaussian distribution source term as spatial heating source make hyperthermia position independent of BCs.