Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2025
HetMS-MC: A framework for heterogeneous multiscale Monte Carlo modelling in radiation medicine.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Fletcher Elizabeth M, Thomson Rowan M
Аннотация
BACKGROUND: Radiation medicine involves processes spanning many length scales and there is interest in modelling across scales to advance knowledge, particularly for prospective treatment approaches, e.g., gold nanoparticle-enhanced radiation therapy (GNPT). Previously, implementation of this type of multiscale modelling in radiation medicine has been problem-based, with little standardization and no established framework.
PURPOSE: To introduce a framework for heterogeneous multiscale Monte Carlo (HetMS-MC) modelling in radiation medicine.
METHODS: The presented framework includes considerations for the creation and analysis of HetMS-MC models, including model development, simulation setup, uncertainty analysis and quantification. The framework is demonstrated through two examples: (1) tumour model; (2) GNPT scenario. Both are implemented in EGSnrc and consist of a cm-scale tumour containing a region of interest comprised of 650 micron-scale cells in which specific energy is scored.
RESULTS: The tumour model demonstrates the need for multiscale modelling as the HetMS-MC model captures differences in specific energy distributions from varying input parameters such as cell arrangement and MC random number seed that are not seen in conventional MC simulations. The GNPT model highlights the importance of multi-scale bridging in the development of HetMS-MC models.
CONCLUSIONS: A general HetMS-MC framework is established and used to develop two models relevant to radiation medicine. This framework allows for efficient simulation of radiation physics processes across many length scales for arbitrary treatment modalities.
PURPOSE: To introduce a framework for heterogeneous multiscale Monte Carlo (HetMS-MC) modelling in radiation medicine.
METHODS: The presented framework includes considerations for the creation and analysis of HetMS-MC models, including model development, simulation setup, uncertainty analysis and quantification. The framework is demonstrated through two examples: (1) tumour model; (2) GNPT scenario. Both are implemented in EGSnrc and consist of a cm-scale tumour containing a region of interest comprised of 650 micron-scale cells in which specific energy is scored.
RESULTS: The tumour model demonstrates the need for multiscale modelling as the HetMS-MC model captures differences in specific energy distributions from varying input parameters such as cell arrangement and MC random number seed that are not seen in conventional MC simulations. The GNPT model highlights the importance of multi-scale bridging in the development of HetMS-MC models.
CONCLUSIONS: A general HetMS-MC framework is established and used to develop two models relevant to radiation medicine. This framework allows for efficient simulation of radiation physics processes across many length scales for arbitrary treatment modalities.