Name
Title | ||
|---|---|---|
Identification of tumor region parameters using evolutionary algorithm and multiple reciprocity boundary element method |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.engappai.2006.11.003 | Eng. Appl. of AI |
Keywords | Field | DocType |
contact surface,additional information,boundary condition,thermal conductivity,inverse problem,geometrical parameter,evolutionary algorithm,thermal process,multiple reciprocity boundary element,tumor region parameter,pennes equation,bioheat transfer,boundary element method,surface temperature | Boundary knot method,Boundary value problem,Mathematical optimization,Evolutionary algorithm,Computer science,Free boundary problem,Inverse problem,Method of fundamental solutions,Singular boundary method,Boundary element method | Journal |
Volume | Issue | ISSN |
20 | 5 | Engineering Applications of Artificial Intelligence |
Citations | PageRank | References |
10 | 1.09 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Paruch | 1 | 10 | 1.09 |
| E. Majchrzak | 2 | 10 | 1.43 |