| Full text | |
| Author(s): |
Rodrigo Sartorelo Salemi Viana
[1]
;
Helenice de Oliveira Florentino
[2]
;
Ernesto Augusto Bueno da Fonseca Lima
[3]
;
Paulo Roberto da Fonseca
[4]
;
Thiago Pedro Donadon Homem
[5]
Total Authors: 5
|
| Affiliation: | [1] Instituto de Pesquisas Energéticas e Nucleares - Brasil
[2] Universidade Estadual Paulista. Instituto de Biociências de Botucatu. Departamento de Bioestatística - Brasil
[3] Laboratório Nacional de Computação Científica - Brasil
[4] Centro Universitário da Fundação Educacional de Barretos - Brasil
[5] Serviço Nacional de Aprendizagem Industrial - Brasil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | Pesquisa Operacional; v. 31, n. 3, p. 565-578, 2011-12-00. |
| 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. (AU) | |
| FAPESP's process: | 07/02313-5 - Theoretical and experimental modeling for ACB optimization: a new methodology for quality control in solid dosage forms disintegration |
| Grantee: | Paulo Roberto da Fonseca Filho |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 06/02476-9 - Mathematical programming in the exploitation of sugarcane harvest residual biomass |
| Grantee: | Helenice de Oliveira Florentino Silva |
| Support Opportunities: | Regular Research Grants |