Numerical simulation of 3-D freezing and heating problems for combined cryosurgery and hyperthermia therapy

被引:68
作者
Deng, ZS [1 ]
Liu, J [1 ]
机构
[1] Chinese Acad Sci, Tech Inst Phys & Chem, Cryogen Lab, Beijing 100080, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1080/10407780490487740
中图分类号
O414.1 [热力学];
学科分类号
摘要
Recently, a new tumor ablation modality based on freezing immediately followed by a rapid and strong enough heating has been proved to be more effective and flexible than conventional cryosurgery. In this study, a numerical algorithm based on the effective heat capacity method is established to solve three-dimensional (3-D) phase-change problems of biological tissues subject to combined freezing and heating. The accuracy of the numerical code thus compiled is validated through comparisons of the calculation results with a 1-D exact solution for a semi-infinite region solidification problem. Using the present algorithm, comprehensive analysis is performed on the freezing/thawing behavior of biological tissues with tumors. For treatment of large tumors, where strong cooling/heating power is required, a single probe will not be able to address a sufficiently large volume. For this case, freezing/heating problems using a three-probe system are solved for illustration purposes. The present algorithm is expected to be a valuable treatment-planning tool for combined cryosurgery and hyperthermia therapy.
引用
收藏
页码:587 / 611
页数:25
相关论文
共 38 条
[1]   Thermal analysis during continuous casting process using effective heat capacity method [J].
Amin, MR .
JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER, 2000, 14 (02) :170-176
[2]   Conjugate heat transfer during two-phase solidification process in a continuously moving metal using average heat capacity method [J].
Amin, MR ;
Greif, D .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 1999, 42 (15) :2883-2895
[3]   MATHEMATICAL-MODELING OF FREEZING FRONT PROPAGATION IN BIOLOGICAL TISSUE [J].
ANDRUSHKIW, RI .
MATHEMATICAL AND COMPUTER MODELLING, 1990, 13 (10) :1-9
[4]   A semi-empirical treatment planning model for optimization of multiprobe cryosurgery [J].
Baissalov, R ;
Sandison, GA ;
Donnelly, BJ ;
Saliken, JC ;
McKinnon, JG ;
Muldrew, K ;
Rewcastle, JC .
PHYSICS IN MEDICINE AND BIOLOGY, 2000, 45 (05) :1085-1098
[5]   Simultaneous optimization of cryoprobe placement and thermal protocol for cryosurgery [J].
Baissalov, R ;
Sandison, GA ;
Reynolds, D ;
Muldrew, K .
PHYSICS IN MEDICINE AND BIOLOGY, 2001, 46 (07) :1799-1814
[6]   Rectal protection during prostate cryosurgery: Design and characterization of an insulating probe [J].
Bischof, JC ;
Merry, N ;
Hulbert, J .
CRYOBIOLOGY, 1997, 34 (01) :80-92
[7]   NUMERICAL SOLUTION OF PHASE-CHANGE PROBLEMS [J].
BONACINA, C ;
COMINI, G ;
FASANO, A ;
PRIMICERIO, M .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 1973, 16 (10) :1825-1832
[8]   A CONSERVATIVE ALGORITHM FOR MULTIDIMENSIONAL CONDUCTION PHASE-CHANGE [J].
COMINI, G ;
DELGIUDICE, S ;
SARO, O .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 1990, 30 (04) :697-709
[9]   Modeling of multidimensional freezing problem during cryosurgery by the dual reciprocity boundary element method [J].
Deng, ZS ;
Liu, J .
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2004, 28 (02) :97-108
[10]  
Deng ZS, 2002, NUMER HEAT TR B-FUND, V42, P543, DOI 10.1080/10407790190054076