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Technical note: TERMA scaling as an effective heterogeneity correction model for convolution-based external-beam photon dose calculations.
Laakkonen, Linda; Fan, Zheyong; Harju, Ari.
Afiliación
  • Laakkonen L; Varian Medical Systems, a Siemens Healthineers Company, Helsinki, Finland.
  • Fan Z; Department of Physics, University of Helsinki, Helsinki, Finland.
  • Harju A; Varian Medical Systems, a Siemens Healthineers Company, Helsinki, Finland.
Med Phys ; 50(5): 3191-3198, 2023 May.
Article en En | MEDLINE | ID: mdl-36738126
ABSTRACT

BACKGROUND:

In highly heterogeneous medium, such as one with lung tissue or air cavities, the dose in the low-density region or after it, as calculated by the conventional methods based on convolution with an energy-spreading kernel, is usually overestimated in comparison with measurements or more accurate predictions.

PURPOSE:

To correct the overestimation, we propose a method of scaling the total energy released per mass (TERMA).

METHODS:

The scaling depends on both the density distribution and the effective beam size in the lateral direction.

RESULTS:

The corrected convolution method achieved a significantly improved accuracy in both the lung-like tissue and the water-like region after air, compared to the uncorrected method. The TERMA correction only adds about 10% to the overall computational cost.

CONCLUSIONS:

Due to the improvement in accuracy and the preservation of computational efficiency, the proposed dose calculation method will be valuable for inverse treatment planning.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Fotones Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article País de afiliación: Finlandia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Planificación de la Radioterapia Asistida por Computador / Fotones Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Med Phys Año: 2023 Tipo del documento: Article País de afiliación: Finlandia