Automated four-dimensional Monte Carlo workflow using log files and real-time motion monitoring

Patrik Sibolt, R.O. Cronholm, E. Heath, Claus E. Andersen, C. F. Behrens

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    Abstract

    With emerging techniques for tracking and gating methods in radiotherapy of lung cancer patients, there is an increasing need for efficient four-dimensional Monte Carlo (4DMC) based quality assurance (QA). An automated and flexible workflow for 4DMC QA, based on the 4DdefDOSXYZnrc user code, has been developed in python. The workflow has been tested and verified using an in-house developed dosimetry system comprised of a dynamic thorax phantom constructed for plastic scintillator dosimetry. The workflow is directly compatible with any treatment planning system and can also be triggered by the appearance of linac log files. It has minimum user interaction and, with the use of linac log files, it provides a method for verification of the actually delivered dose in the patient geometry.
    Original languageEnglish
    Article number012030
    Book seriesJournal of Physics: Conference Series (Online)
    Volume847
    Number of pages4
    ISSN1742-6596
    DOIs
    Publication statusPublished - 2017
    Event9th International Conference on 3D Radiation Dosimetry - Galveston, United States
    Duration: 7 Nov 201610 Nov 2016
    Conference number: 9

    Conference

    Conference9th International Conference on 3D Radiation Dosimetry
    Number9
    Country/TerritoryUnited States
    CityGalveston
    Period07/11/201610/11/2016

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