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[EN] Multileaf collimators are used on linear accelerators to provide conformal shaping of radiotherapy treatment beams, being an important tool for radiation therapy dose delivery. In this work, a multileaf collimator has been designed and implemented in the MCNP model of an Elekta Precise Linear Accelerator (LINAC) and introduced in PLUNC, a set of software tools for radiotherapy treatment planning (RTP) which was coupled in previous works with MCNP5 (Monte Carlo N-Particle transport code), with the purpose of comparing its effect on deterministic and Monte Carlo dose calculations. A 3D Shepp-Logan phantom was utilized as the patient model for validation purposes. Once the multileaf collimator model is implemented in the PLUNC LINAC model, a series of Matlab interfaces extract phantom and beam information created with PLUNC during the treatment plan and write it in MCNP5 input deck format. After the Monte Carlo simulation is performed, results are input back again in PLUNC in order to continue with the plan evaluation. The comparison is made via mapping of dose distribution inside the phantom with different field sizes, utilizing the MCNP5 tool FMESH, superimposed mesh tally, which allows registering the results over the problem geometry. This work follows a valid methodology for multileaf LINAC MC calculations during radiation treatment plans.

Pertenece a

RiuNet. Repositorio institucional de la Universitat de Valencia  


Abella Aranda, Vicente -  Miró Herrero, Rafael -  Juste Vidal, Belen Jeanine -  Verdú Martín, Gumersindo Jesús - 

Id.: 71077831

Idioma: eng  - 

Versión: 1.0

Estado: Final

Palabras claveMonte Carlo - 

Tipo de recurso: info:eu-repo/semantics/article  -  info:eu repo/semantics/publishedVersion  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Reserva de todos los derechos

Requerimientos técnicos:  Browser: Any - 

Relación: [References] Progress in Nuclear Science and Technology
[References] https://ndlonline.ndl.go.jp/#!/detail/R300000002-I023757170-00?lang=en

Fecha de contribución: 14-mar-2018


* 2185-4823

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