Skip navigation
Please use this identifier to cite or link to this item: http://repositorio.unb.br/handle/10482/29002
Files in This Item:
File SizeFormat 
ARTIGO_InverseModelLocating.pdf2,31 MBAdobe PDFView/Open
Title: An inverse model for locating skin tumours in 3D using the genetic algorithm with the dual reciprocity boundary element method
Authors: Bueno, Fabrício Ribeiro
Partridge, Paul William
Assunto:: Método inverso
Algoritmos genéticos
Métodos de elementos de contorno
Tumores
Equação biotérmica de Pennes
Issue Date: Nov-2013
Publisher: Associação Brasileira de Ciências Mecânicas
Citation: BUENO, Fabrício Ribeiro; PARTRIDGE, Paul William. 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, Rio de Janeiro, v. 10, n. 6, p. 1061-1079, nov. 2013. DOI: http://dx.doi.org/10.1590/S1679-78252013000600001. Disponível em: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252013000600001&lng=en&tlng=en. Acesso em: 04 ago. 2020.
Abstract: 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.
Licença:: Latin American Journal of Solids and Structures - (CC BY) - All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License. Fonte: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252013000600001&lng=en&tlng=en. Acesso em: 04 ago. 2020.
DOI: https://dx.doi.org/10.1590/S1679-78252013000600001
Appears in Collections:Artigos publicados em periódicos e afins

Show full item record " class="statisticsLink btn btn-primary" href="/jspui/handle/10482/29002/statistics">



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.