Identification of tumor region parameters using evolutionary algorithm and multiple reciprocity boundary element method

In the paper the inverse problems consisting in the simultaneous estimation of unknown thermophysical and/or geometrical parameters (thermal conductivity, perfusion coefficient, metabolic heat source, location, size) of the tumor region are solved. The additional information concerning the knowledge...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence 2007-08, Vol.20 (5), p.647-655
Main Authors: Paruch, M., Majchrzak, E.
Format: Article
Language:English
Subjects:
Bioheat transfer
Evolutionary algorithm
Inverse problem
Multiple reciprocity BEM
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Summary:In the paper the inverse problems consisting in the simultaneous estimation of unknown thermophysical and/or geometrical parameters (thermal conductivity, perfusion coefficient, metabolic heat source, location, size) of the tumor region are solved. The additional information concerning the knowledge of local skin surface temperature at the selected set of points is assumed to be known. The problem of thermal processes proceeding in the domain considered is described by the system of the Pennes equations and boundary conditions given on the outer and contact surfaces. On the stage of numerical solution the evolutionary algorithm coupled with the multiple reciprocity boundary element method has been applied.
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2006.11.003