Literature DB >> 25774032

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

P Kumar1, Dinesh Kumar2, K N Rai3.   

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 τT. 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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Boundary condition; DPL bio-heat conduction model; Finite element wavelet Galerkin method; Gaussian distribution; Hyperthermia

Mesh:

Year:  2015        PMID: 25774032     DOI: 10.1016/j.jtherbio.2015.02.008

Source DB:  PubMed          Journal:  J Therm Biol        ISSN: 0306-4565            Impact factor:   2.902


  6 in total

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Authors:  Izaz Raouf; Salman Khalid; Asif Khan; Jaehun Lee; Heung Soo Kim; Min-Ho Kim
Journal:  J Therm Biol       Date:  2020-06-17       Impact factor: 2.902

2.  A Study on Non-Linear DPL Model for Describing Heat Transfer in Skin Tissue during Hyperthermia Treatment.

Authors:  Sunil Kumar Sharma; Dinesh Kumar
Journal:  Entropy (Basel)       Date:  2020-04-22       Impact factor: 2.524

3.  Thermal tomography for monitoring tumor response to neoadjuvant chemotherapy in women with locally advanced breast cancer.

Authors:  Qi Wu; Juanjuan Li; Si Sun; Xiaoli Yao; Shan Zhu; Juan Wu; Qian Liu; Xiaojun Ding; Manman Shi; Kaiyang Li; Shengrong Sun
Journal:  Oncotarget       Date:  2017-03-25

4.  Numerical Simulation of Thermal Processes in a Domain of Thin Metal Film Subjected to an Ultrashort Laser Pulse.

Authors:  Ewa Majchrzak; Bohdan Mochnacki
Journal:  Materials (Basel)       Date:  2018-10-28       Impact factor: 3.623

5.  Risk of breast cancer based on thermal tomography characteristics.

Authors:  Si Sun; Xin Yu; Juanjuan Li; Zhiyu Li; Shan Zhu; Lijun Wang; Juan Wu; Kaiyang Li; Qi Wu; Shengrong Sun
Journal:  Transl Cancer Res       Date:  2019-08       Impact factor: 1.241

6.  Heat Transfer in Biological Spherical Tissues during Hyperthermia of Magnetoma.

Authors:  Mahmoud Ragab; Ahmed E Abouelregal; Huda F AlShaibi; Rasha A Mansouri
Journal:  Biology (Basel)       Date:  2021-12-02
  6 in total

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