An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method
Here, the Dual Reciprocity Boundary Element Method is used to solve the 3D Pennes Bioheat Equation, which together with a Genetic Algorithm, produces an inverse model capable of obtaining the location and the size of a tumour, having as data input the temperature distribution measured on the skin su...
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Marcílio Alves
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doaj-113c3f04dbcf4b6b9f684bc5f66610732020-11-25T01:53:40ZengMarcílio AlvesLatin American Journal of Solids and Structures1679-78251061061107910.1590/S1679-78252013000600001S1679-78252013000600001An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element MethodFabrício Ribeiro Bueno0Paul William Partridge1Universidade de BrasíliaUniversidade de BrasíliaHere, the Dual Reciprocity Boundary Element Method is used to solve the 3D Pennes Bioheat Equation, which together with a Genetic Algorithm, produces an inverse model capable of obtaining the location and the size of a tumour, having as data input the temperature distribution measured on the skin surface. Given that the objective function, which is solved inversely, involves the DRBEM (Dual Reciprocity Boundary Element Method) the Genetic Algorithm in its usual form becomes slower, in such a way that it was necessary to develop functions based the solution history in order that the process becomes quicker and more accurate. Results for 8 examples are presented including cases with convection and radiation boundary conditions. Cases involving noise in the readings of the equipment are also considered. This technique is intended to assist health workers in the diagnosis of tumours.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252013000600001&lng=en&tlng=enInverse methodGenetic AlgorithmDual Reciprocity Boundary Element MethodTumourPennes Bioheat Equation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fabrício Ribeiro Bueno Paul William Partridge |
spellingShingle |
Fabrício Ribeiro Bueno Paul William Partridge An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method Latin American Journal of Solids and Structures Inverse method Genetic Algorithm Dual Reciprocity Boundary Element Method Tumour Pennes Bioheat Equation |
author_facet |
Fabrício Ribeiro Bueno Paul William Partridge |
author_sort |
Fabrício Ribeiro Bueno |
title |
An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method |
title_short |
An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method |
title_full |
An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method |
title_fullStr |
An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method |
title_full_unstemmed |
An inverse model for locating skin tumours in 3D using the genetic algorithm with the Dual Reciprocity Boundary Element Method |
title_sort |
inverse model for locating skin tumours in 3d using the genetic algorithm with the dual reciprocity boundary element method |
publisher |
Marcílio Alves |
series |
Latin American Journal of Solids and Structures |
issn |
1679-7825 |
description |
Here, the Dual Reciprocity Boundary Element Method is used to solve the 3D Pennes Bioheat Equation, which together with a Genetic Algorithm, produces an inverse model capable of obtaining the location and the size of a tumour, having as data input the temperature distribution measured on the skin surface. Given that the objective function, which is solved inversely, involves the DRBEM (Dual Reciprocity Boundary Element Method) the Genetic Algorithm in its usual form becomes slower, in such a way that it was necessary to develop functions based the solution history in order that the process becomes quicker and more accurate. Results for 8 examples are presented including cases with convection and radiation boundary conditions. Cases involving noise in the readings of the equipment are also considered. This technique is intended to assist health workers in the diagnosis of tumours. |
topic |
Inverse method Genetic Algorithm Dual Reciprocity Boundary Element Method Tumour Pennes Bioheat Equation |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252013000600001&lng=en&tlng=en |
work_keys_str_mv |
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