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

9th International Conference on 3D Radiation Dosimetry

Sibolt, P.^1,2 ; Cronholm, R.O.^3 ; Heath, E.^4 ; Andersen, C.E.^1 ; Behrens, C.F.^2

Center for Nuclear Technologies, Technical University of Denmark, Roskilde, Denmark^1

Radiotherapy Research Unit, Herlev Hospital, Herlev, Denmark^2

Department of Radiation Physics, Skane University Hospital, Lund, Sweden^3

Carleton Laboratory for Radiotherapy Physics, Carleton University, Ottawa, Canada^4

关键词: Flexible workflows;    Lung Cancer;    Patient geometries;    Plastic scintillator;    Real-time motion;    Thorax phantom;    Treatment planning systems;    User interaction;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/847/1/012030/pdf
DOI  :  10.1088/1742-6596/847/1/012030

来源: IOP

【 摘 要 】

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.