Desenvolvimento de uma metodologia para equiparação de aceleradores lineares de uso médico utilizando modelagem computacional
The medical linear accelerator became the predominant equipment in radiotherapy, that is, in teletherapy. Its use requires continuous quality control due to the complexity of both the equipment and the patient. The process of dose calculation for treatment depends on several factors, mainly the phys...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Brasil |
| Institución: | Universidade Federal do Rio de Janeiro (UFRJ) |
| Repositorio: | Repositório Institucional da UFRJ |
| Idioma: | portugués |
| OAI Identifier: | oai:pantheon.ufrj.br:11422/13744 |
| Acceso en línea: | http://hdl.handle.net/11422/13744 |
| Access Level: | acceso abierto |
| Palabra clave: | Acelerador linear Monte Carlo Heterogeneidade CNPQ::ENGENHARIAS::ENGENHARIA NUCLEAR |
| Sumario: | The medical linear accelerator became the predominant equipment in radiotherapy, that is, in teletherapy. Its use requires continuous quality control due to the complexity of both the equipment and the patient. The process of dose calculation for treatment depends on several factors, mainly the physical constitution of the linear accelerator. Patients constantly have their treatment interrupted due to defects in these equipment, and may have a considerable repair time. In this scenario, discontinuation of treatment for a long time is extremely detrimental to the patient, as regards malignant diseases. The solution would be to transfer the patient from one device to another. In many Oncology Institutions, although they have more than one treatment equipment, they are often from different models or manufacturers, necessitating laborious modifications in the planning of these patients. Therefore, this work comes to add a vision of the differences of performance, in relation to the compatibility of these equipments, through the methodology of comparison of the result of their simulations, through computational modeling, using the Monte Carlo Method. |
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