Articles producció científica> Ciències Mèdiques Bàsiques

A new method for modelling the tongue-and-groove in treatment planning systems

  • Dades identificatives

    Identificador: imarina:9334296
    Autors:
    Hernandez, VVera-Sánchez, JAVieillevigne, LKhamphan, CSaez, J
    Resum:
    Commercial TPSs typically model the tongue-and-groove (TG) by extending the projections of the leaf sides by a certain constant width. However, this model may produce discrepancies of as much as 7%-10% in the calculated average doses, especially for the High Definition multi-leaf collimator (MLC) (Hernandez et al 2017 Phys. Med. Biol. 62 6688-707). The purpose of the present study is to introduce and validate a new method for modelling the TG that uses a non constant TG width. We provide the theoretical background and a detailed methodology to determine the optimal shape of this TG width from measurements and we fit an empirical function to the TG width that depended on two parameters a(1) and a(2). Parameter a(1) represents the TG width and a(2) introduces a curvature correction in the width near the leaf tip end. The new TG model was implemented in MATLAB and when the curvature correction was zero (a(2) = 0) it caused the same discrepancies as the constant width model used by the Eclipse TPS. On the other hand, when the experimentally determined a(2) was used the new model's calculations were in close agreement with measurements, with all differences in average doses <1%. Additionally, film dosimetry was used to successfully validate the potential of the new TG model to recreate the fine spatial details associated to TG effects. We also showed that the parameters a(1), a(2) depend solely on the MLC design by evaluating three different linear accelerators for each MLC model considered, namely Varian's High Definition and Millennium120 MLCs. In conclusion, a new method was presented that greatly improves the TG modelling. The present method can be easily implemented in commercial TPSs and has the potential to further increase their accuracy, especially for MLCs with rou
  • Altres:

    Autor segons l'article: Hernandez, V; Vera-Sánchez, JA; Vieillevigne, L; Khamphan, C; Saez, J
    Departament: Ciències Mèdiques Bàsiques
    Autor/s de la URV: Hernandez Masgrau, Victor
    Paraules clau: Dose calculation Fields Impact Mlc Mlc modelling Tongue and groove Tps modelling
    Resum: Commercial TPSs typically model the tongue-and-groove (TG) by extending the projections of the leaf sides by a certain constant width. However, this model may produce discrepancies of as much as 7%-10% in the calculated average doses, especially for the High Definition multi-leaf collimator (MLC) (Hernandez et al 2017 Phys. Med. Biol. 62 6688-707). The purpose of the present study is to introduce and validate a new method for modelling the TG that uses a non constant TG width. We provide the theoretical background and a detailed methodology to determine the optimal shape of this TG width from measurements and we fit an empirical function to the TG width that depended on two parameters a(1) and a(2). Parameter a(1) represents the TG width and a(2) introduces a curvature correction in the width near the leaf tip end. The new TG model was implemented in MATLAB and when the curvature correction was zero (a(2) = 0) it caused the same discrepancies as the constant width model used by the Eclipse TPS. On the other hand, when the experimentally determined a(2) was used the new model's calculations were in close agreement with measurements, with all differences in average doses <1%. Additionally, film dosimetry was used to successfully validate the potential of the new TG model to recreate the fine spatial details associated to TG effects. We also showed that the parameters a(1), a(2) depend solely on the MLC design by evaluating three different linear accelerators for each MLC model considered, namely Varian's High Definition and Millennium120 MLCs. In conclusion, a new method was presented that greatly improves the TG modelling. The present method can be easily implemented in commercial TPSs and has the potential to further increase their accuracy, especially for MLCs with rounded leaf ends.
    Àrees temàtiques: Astronomia / física Ciência da computação Ciências biológicas i Ciências biológicas ii Engenharias ii Engenharias iii Engenharias iv Engineering, biomedical General medicine Interdisciplinar Matemática / probabilidade e estatística Medicina i Medicina ii Odontología Psicología Radiological and ultrasound technology Radiology, nuclear medicine & medical imaging Radiology, nuclear medicine and imaging Saúde coletiva
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: victor.hernandez@urv.cat
    Identificador de l'autor: 0000-0003-3770-8486
    Data d'alta del registre: 2024-01-16
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    Enllaç font original: https://iopscience.iop.org/article/10.1088/1361-6560/aaf098
    Referència a l'article segons font original: Physics In Medicine And Biology. 63 (24):
    Referència de l'ítem segons les normes APA: Hernandez, V; Vera-Sánchez, JA; Vieillevigne, L; Khamphan, C; Saez, J (2018). A new method for modelling the tongue-and-groove in treatment planning systems. Physics In Medicine And Biology, 63(24), -. DOI: 10.1088/1361-6560/aaf098
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1088/1361-6560/aaf098
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2018
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Engineering, Biomedical,Radiological and Ultrasound Technology,Radiology, Nuclear Medicine & Medical Imaging,Radiology, Nuclear Medicine and Imaging
    Dose calculation
    Fields
    Impact
    Mlc
    Mlc modelling
    Tongue and groove
    Tps modelling
    Astronomia / física
    Ciência da computação
    Ciências biológicas i
    Ciências biológicas ii
    Engenharias ii
    Engenharias iii
    Engenharias iv
    Engineering, biomedical
    General medicine
    Interdisciplinar
    Matemática / probabilidade e estatística
    Medicina i
    Medicina ii
    Odontología
    Psicología
    Radiological and ultrasound technology
    Radiology, nuclear medicine & medical imaging
    Radiology, nuclear medicine and imaging
    Saúde coletiva
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