Articles producció científica> Ciències Mèdiques Bàsiques

A novel procedure for determining the optimal: MLC. configuration parameters in treatment planning systems based on measurements with a Farmer chamber

  • Identification data

    Identifier: imarina:9334312
    Authors:
    Saez, JHernandez, VGoossens, JDe Kerf, GVerellen, D
    Abstract:
    Modelling of the multi-leaf collimator (MLC) in treatment planning systems (TPS) is crucial for the dose calculation accuracy of intensity-modulated radiation therapy plans. However, no standardised methodology for their configuration exists to date. In this study we present a method that separates the effect of each dosimetric characteristic of the MLC, offering comprehensive equations for the determination of the configuration parameters used in the TPS model. The main advantage of the method is that it only requires prior knowledge of the nominal leaf width and is based on doses measured with a Farmer chamber, which is a very well established and robust methodology. Another significant advantage is the required time, since measuring the tests takes only about 30 minutes per energy. Firstly, we provide a theoretical general formalism in terms of the primary fluence constructed from the transmission map obtained from an MLC model for synchronous and asynchronous sweeping beams. Secondly, we apply the formalism to the RayStation TPS as a proof of concept and we derive analytical expressions that allow the determination of the configuration parameters (leaf tip width, tongue-and-groove width, x-position offset and MLC transmission) and describe how they intertwine. Finally, we apply the method to Varian's Millennium120 and HD120 MLCs in a TrueBeam linear accelerator for different energies and determine the optimal configuration parameters. The proposed procedure is much faster and streamlined than the typical trial-and-error methods and increases the accuracy of dose calculation in clinical plans. Additionally, the procedure can be useful for standardising the MLC configuration process and it exposes the limitations of the implemented MLC model, providing guidance for fu
  • Others:

    Author, as appears in the article.: Saez, J; Hernandez, V; Goossens, J; De Kerf, G; Verellen, D
    Department: Ciències Mèdiques Bàsiques
    URV's Author/s: Hernandez Masgrau, Victor
    Keywords: Transmission Tps modelling Tps comissioning Radiotherapy planning, computer-assisted Radiotherapy dosage Radiotherapy Radiometry Radiation-field offset Photon Phantoms, imaging Particle accelerators Multileaf collimator Monte-carlo Models, biological Model Mlc modelling Imrt Humans Guideline
    Abstract: Modelling of the multi-leaf collimator (MLC) in treatment planning systems (TPS) is crucial for the dose calculation accuracy of intensity-modulated radiation therapy plans. However, no standardised methodology for their configuration exists to date. In this study we present a method that separates the effect of each dosimetric characteristic of the MLC, offering comprehensive equations for the determination of the configuration parameters used in the TPS model. The main advantage of the method is that it only requires prior knowledge of the nominal leaf width and is based on doses measured with a Farmer chamber, which is a very well established and robust methodology. Another significant advantage is the required time, since measuring the tests takes only about 30 minutes per energy. Firstly, we provide a theoretical general formalism in terms of the primary fluence constructed from the transmission map obtained from an MLC model for synchronous and asynchronous sweeping beams. Secondly, we apply the formalism to the RayStation TPS as a proof of concept and we derive analytical expressions that allow the determination of the configuration parameters (leaf tip width, tongue-and-groove width, x-position offset and MLC transmission) and describe how they intertwine. Finally, we apply the method to Varian's Millennium120 and HD120 MLCs in a TrueBeam linear accelerator for different energies and determine the optimal configuration parameters. The proposed procedure is much faster and streamlined than the typical trial-and-error methods and increases the accuracy of dose calculation in clinical plans. Additionally, the procedure can be useful for standardising the MLC configuration process and it exposes the limitations of the implemented MLC model, providing guidance for further improvement of these models in TPSs.
    Thematic Areas: Saúde coletiva Radiology, nuclear medicine and imaging Radiology, nuclear medicine & medical imaging Radiological and ultrasound technology Psicología Odontología Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar General medicine Engineering, biomedical Engenharias iv Engenharias iii Engenharias ii Ciências biológicas ii Ciências biológicas i Ciência da computação Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: victor.hernandez@urv.cat
    Author identifier: 0000-0003-3770-8486
    Record's date: 2024-06-28
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://iopscience.iop.org/article/10.1088/1361-6560/ab8cd5
    Papper original source: Physics In Medicine And Biology. 65 (15): 155006-
    APA: Saez, J; Hernandez, V; Goossens, J; De Kerf, G; Verellen, D (2020). A novel procedure for determining the optimal: MLC. configuration parameters in treatment planning systems based on measurements with a Farmer chamber. Physics In Medicine And Biology, 65(15), 155006-. DOI: 10.1088/1361-6560/ab8cd5
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.1088/1361-6560/ab8cd5
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications
  • Keywords:

    Engineering, Biomedical,Radiological and Ultrasound Technology,Radiology, Nuclear Medicine & Medical Imaging,Radiology, Nuclear Medicine and Imaging
    Transmission
    Tps modelling
    Tps comissioning
    Radiotherapy planning, computer-assisted
    Radiotherapy dosage
    Radiotherapy
    Radiometry
    Radiation-field offset
    Photon
    Phantoms, imaging
    Particle accelerators
    Multileaf collimator
    Monte-carlo
    Models, biological
    Model
    Mlc modelling
    Imrt
    Humans
    Guideline
    Saúde coletiva
    Radiology, nuclear medicine and imaging
    Radiology, nuclear medicine & medical imaging
    Radiological and ultrasound technology
    Psicología
    Odontología
    Medicina ii
    Medicina i
    Matemática / probabilidade e estatística
    Interdisciplinar
    General medicine
    Engineering, biomedical
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Ciências biológicas ii
    Ciências biológicas i
    Ciência da computação
    Astronomia / física
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