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

doi:10.1088/1742-6596/847/1/012030

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

Skåne University Hospital
Carleton University
Copenhagen University Hospital Herlev and Gentofte

Research output: Contribution to journal › Conference article › Research › peer-review

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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 language	English
Article number	012030
Book series	Journal of Physics: Conference Series (Online)
Volume	847
Number of pages	4
ISSN	1742-6596
DOIs	https://doi.org/10.1088/1742-6596/847/1/012030
Publication status	Published - 2017
Event	9th International Conference on 3D Radiation Dosimetry - Galveston, United States Duration: 7 Nov 2016 → 10 Nov 2016 Conference number: 9

Conference

Conference	9th International Conference on 3D Radiation Dosimetry
Number	9
Country/Territory	United States
City	Galveston
Period	07/11/2016 → 10/11/2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1088/1742-6596/847/1/012030

Sibolt et al Auto 4DMC workflow IC3DDose 2017 J Phys Conf SeFinal published version, 196 KB

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Cite this

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title = "Automated four-dimensional Monte Carlo workflow using log files and real-time motion monitoring",

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.",

author = "Patrik Sibolt and R.O. Cronholm and E. Heath and Andersen, \{Claus E.\} and Behrens, \{C. F.\}",

year = "2017",

doi = "10.1088/1742-6596/847/1/012030",

language = "English",

volume = "847",

journal = "Journal of Physics: Conference Series (Online)",

issn = "1742-6596",

publisher = "IOP Publishing",

note = "9th International Conference on 3D Radiation Dosimetry , IC3DDose 2016 ; Conference date: 07-11-2016 Through 10-11-2016",

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T1 - Automated four-dimensional Monte Carlo workflow using log files and real-time motion monitoring

AU - Sibolt, Patrik

AU - Cronholm, R.O.

AU - Heath, E.

AU - Andersen, Claus E.

AU - Behrens, C. F.

N1 - Conference code: 9

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

U2 - 10.1088/1742-6596/847/1/012030

DO - 10.1088/1742-6596/847/1/012030

M3 - Conference article

SN - 1742-6596

VL - 847

JO - Journal of Physics: Conference Series (Online)

JF - Journal of Physics: Conference Series (Online)

M1 - 012030

T2 - 9th International Conference on 3D Radiation Dosimetry

Y2 - 7 November 2016 through 10 November 2016

ER -

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

Abstract

Conference

UN SDGs

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