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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Main Authors: Fabrício Ribeiro Bueno, Paul William Partridge
Format: Article
Language:English
Published: Marcílio Alves
Series:Latin American Journal of Solids and Structures
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252013000600001&lng=en&tlng=en
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spelling 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
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