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Real-time energy/mass transfer mapping for online 4D dose reconstruction

In this work we describe an ultra-fast, low-latency implementation of the energy/mass transfer (EMT) mapping method to accumulate dose on deforming geometries such as lung using the central processing unit (CPU). It enables the computation of the actually delivered dose for intensity-modulated radia...

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Autores principales: Ziegenhein, Peter, Kamerling, Cornelis Ph., Fast, Martin F., Oelfke, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827544/
https://www.ncbi.nlm.nih.gov/pubmed/29483618
http://dx.doi.org/10.1038/s41598-018-21966-x
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author Ziegenhein, Peter
Kamerling, Cornelis Ph.
Fast, Martin F.
Oelfke, Uwe
author_facet Ziegenhein, Peter
Kamerling, Cornelis Ph.
Fast, Martin F.
Oelfke, Uwe
author_sort Ziegenhein, Peter
collection PubMed
description In this work we describe an ultra-fast, low-latency implementation of the energy/mass transfer (EMT) mapping method to accumulate dose on deforming geometries such as lung using the central processing unit (CPU). It enables the computation of the actually delivered dose for intensity-modulated radiation therapy on 4D image data in real-time at 25 Hz. In order to accumulate the delivered dose onto a reference phase a pre-calculated deformable vector field is used. The aim of this study is to present an online dose accumulation technique that can be carried out in less than 40 ms to accommodate the machine log update rate of our research linac. Three speed optimisation strategies for the CPU are discussed: single-core optimisation, parallelisation for multiple cores and vectorisation. The single-core implementation accumulates dose in about 1.1 s on a typical high resolution grid for a lung stereotactic body radiation therapy case. Adding parallelisation decreased the runtime to about 50 ms while adding vectorisation satisfied our real-time constraint by further reducing the dose accumulation time to 15 ms without compromising on resolution or accuracy. The presented method allows real-time dose accumulation on deforming patient geometries and has the potential to enable online dose evaluation and re-planning scenarios.
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spelling pubmed-58275442018-03-01 Real-time energy/mass transfer mapping for online 4D dose reconstruction Ziegenhein, Peter Kamerling, Cornelis Ph. Fast, Martin F. Oelfke, Uwe Sci Rep Article In this work we describe an ultra-fast, low-latency implementation of the energy/mass transfer (EMT) mapping method to accumulate dose on deforming geometries such as lung using the central processing unit (CPU). It enables the computation of the actually delivered dose for intensity-modulated radiation therapy on 4D image data in real-time at 25 Hz. In order to accumulate the delivered dose onto a reference phase a pre-calculated deformable vector field is used. The aim of this study is to present an online dose accumulation technique that can be carried out in less than 40 ms to accommodate the machine log update rate of our research linac. Three speed optimisation strategies for the CPU are discussed: single-core optimisation, parallelisation for multiple cores and vectorisation. The single-core implementation accumulates dose in about 1.1 s on a typical high resolution grid for a lung stereotactic body radiation therapy case. Adding parallelisation decreased the runtime to about 50 ms while adding vectorisation satisfied our real-time constraint by further reducing the dose accumulation time to 15 ms without compromising on resolution or accuracy. The presented method allows real-time dose accumulation on deforming patient geometries and has the potential to enable online dose evaluation and re-planning scenarios. Nature Publishing Group UK 2018-02-26 /pmc/articles/PMC5827544/ /pubmed/29483618 http://dx.doi.org/10.1038/s41598-018-21966-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ziegenhein, Peter
Kamerling, Cornelis Ph.
Fast, Martin F.
Oelfke, Uwe
Real-time energy/mass transfer mapping for online 4D dose reconstruction
title Real-time energy/mass transfer mapping for online 4D dose reconstruction
title_full Real-time energy/mass transfer mapping for online 4D dose reconstruction
title_fullStr Real-time energy/mass transfer mapping for online 4D dose reconstruction
title_full_unstemmed Real-time energy/mass transfer mapping for online 4D dose reconstruction
title_short Real-time energy/mass transfer mapping for online 4D dose reconstruction
title_sort real-time energy/mass transfer mapping for online 4d dose reconstruction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827544/
https://www.ncbi.nlm.nih.gov/pubmed/29483618
http://dx.doi.org/10.1038/s41598-018-21966-x
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