Hybrid integral transforms analysis of the bioheat equation with variable properties

被引:30
作者
Cotta, Renato M. [1 ,2 ]
Cotta, Bianca P. [3 ]
Naveira-Cotta, Carolina P. [1 ,2 ]
Cotta-Pereira, Gerson [4 ]
机构
[1] Univ Fed Rio de Janeiro, Dept Mech Engn, Lab Transmiss & Technol Heat, BR-21945970 Rio De Janeiro, Brazil
[2] Univ Fed Rio de Janeiro, COPPE, BR-21945970 Rio De Janeiro, Brazil
[3] Univ Fed Fluminense, HUAP, Niteroi, RJ, Brazil
[4] 3a Enfermaria Serv Imunoquim & Histoquim, Rio De Janeiro, Brazil
关键词
Bioheat transfer; Pennes' equation; Heat conduction; Integral transforms; Heterogeneous media; THERMAL-PROPERTIES; IDENTIFICATION; TISSUE;
D O I
10.1016/j.ijthermalsci.2010.04.019
中图分类号
O414.1 [热力学];
学科分类号
摘要
Pennes' equation is the most frequently employed model to describe heat transfer processes within living tissues, with numerous applications in clinical diagnostics and thermal treatments. A number of analytical solutions were provided in the literature that represent the temperature distribution across tissue structures, but considering simplifying assumptions such as uniform and linear thermophysical properties and blood perfusion rates. The present work thus advances such analysis path by considering a heterogeneous medium formulation that allows for spatially variable parameters across the tissue thickness. Besides, the eventual variation of blood perfusion rates with temperature is also accounted for in the proposed model. The Generalized Integral Transform Technique (GITT) is employed to yield a hybrid numerical analytical solution of the bioheat model in heterogeneous media, which reduces to the exact solution obtained via the Classical Integral Transform Method for a linear formulation with uniform coefficients. The open source UNIT code ("UNified Integral Transforms") is utilized to obtain numerical results for a set of typical values of the governing parameters, in order to illustrate the convergence behavior of the proposed eigenfunction expansions and inspect the importance of accounting for spatially variable properties in predicting the thermal response of living tissues to external stimulus. (C) 2010 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:1510 / 1516
页数:7
相关论文
共 23 条
[1]  
[Anonymous], 2005, MATH BOOK VERSION 5
[2]  
Cotta R., 1993, Integral Transforms in Computational Heat and Fluid Flow, V3
[3]  
Cotta R.M., 2006, Handbook of Numerical Heat Transfer, V2nd, P493
[4]  
Cotta RenatoM., 1997, HEAT CONDUCTION LUMP
[5]  
Cotta RM, 1998, The integral transform method in thermal and fluids sciences and engineering
[6]   Blood perfusion-based model for characterizing the temperature fluctuation in living tissues [J].
Deng, ZS ;
Liu, J .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2001, 300 (3-4) :521-530
[7]  
Diller K., 2000, CRC Handbook of Thermal Engineering
[8]   An inverse problem in estimating simultaneously the effective thermal conductivity and volumetric heat capacity of biological tissue [J].
Huang, Cheng-Hung ;
Huang, Chu-Ya .
APPLIED MATHEMATICAL MODELLING, 2007, 31 (09) :1785-1797
[9]   Effects of thermal properties and geometrical dimensions on skin burn injuries [J].
Jiang, SC ;
Ma, N ;
Li, HJ ;
Zhang, XX .
BURNS, 2002, 28 (08) :713-717
[10]   Boundary information based diagnostics on the thermal states of biological bodies [J].
Liu, J ;
Xu, LX .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2000, 43 (16) :2827-2839