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Inverse Optimizing Method of Bio-Temperature-Field Reconstruction in rf-Capacitive Hyperthermia |
WAN Bai-Kun1;ZHU Xin1;CHENG Xiao-Man2;LIN Shi-Yin3 |
1Department of Biomedical Engineering and Scientific Instrument, Tianjin University, Tianjin 300072
2Department of Optoelectronic Information and Electronic Engineering, Tianjin Institute of Technology, Tianjin 300191
3Division of Radio-Physics, Tianjin Cancer Institute and Hospital, Tianjin 300060 |
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Cite this article: |
WAN Bai-Kun, ZHU Xin, CHENG Xiao-Man et al 2003 Chin. Phys. Lett. 20 2269-2272 |
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Abstract We propose an inverse optimizing method, used in rf-capacitive hyperthermia to obtain a certain target tumor temperature and to avoid the over-heating of normal tissues. Based on the finite-element-method solutions of the Laplace electric potential equation and Penne's bio-heat transfer equation, the heating conditions are modified by the genetic algorithms recursively to minimize the objective function for searching an optimum physical configuration. With a simplified human tissue model extracted from an x-ray computed tomography slice which has deep- and shallow-seated tumors, satisfied simulation results are obtained both on bi-plate and three-plate systems, e.g., the tumor temperature is higher than 43°C and the temperature of normal tissues is lower than 39°C. It is suggested that the proposed algorithm is suitable for both shallow and deep seated cancer oncology.
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Keywords:
87.54.Br
41.20.Cv
87.56.-v
87.50.Jk
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Published: 01 December 2003
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