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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/17195
Title: 
Heterogeneity correction in the construction of optimized planning in radiotherapy using linear programming
Author(s): 
Institution: 
  • Instituto de Pesquisas Energéticas e Nucleares (IPEN)
  • Universidade Estadual Paulista (UNESP)
  • Laboratório Nacional de Computação Científica
  • Centro Universitário da Fundação Educacional de Barretos
  • Serviço Nacional de Aprendizagem Industrial
ISSN: 
0101-7438
Sponsorship: 
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
  • Fundação para o Desenvolvimento da UNESP (FUNDUNESP)
Abstract: 
A radiotherapy planning is considered optimal when all the parameters involved, physical or biological, have been investigated and appropriate for each patient. In this type of planning, the major concern is with the tumor irradiation with the minimum possible damage to healthy tissues of the irradiated region, especially the organs at risk. The optimal planning for radiotherapy can be aided by Linear Programming and there is a wide literature addressing this subject. However, most published mathematical formulations do not contemplate a scenario in terms of practical applications, because they do not incorporate the heterogeneous composition of the irradiated tissue. This paper presents a methodology for heterogeneity correction in the composition of different types of irradiated tissues based on proportions among their different linear attenuation coefficient.
Issue Date: 
1-Dec-2011
Citation: 
Pesquisa Operacional. Sociedade Brasileira de Pesquisa Operacional, v. 31, n. 3, p. 565-578, 2011.
Time Duration: 
565-578
Publisher: 
Sociedade Brasileira de Pesquisa Operacional
Keywords: 
  • linear programming
  • optimization
  • radiotherapy
Source: 
http://dx.doi.org/10.1590/S0101-74382011000300009
URI: 
http://hdl.handle.net/11449/17195
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/17195
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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