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Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback

A respiratory training system based on audiovisual biofeedback has been implemented at our institution. It is intended to improve patients' respiratory regularity during four‐dimensional (4D) computed tomography (CT) image acquisition. The purpose is to help eliminate the artifacts in 4D‐CT ima...

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Autores principales: Cui, Guoqiang, Gopalan, Siddharth, Yamamoto, Tokihiro, Berger, Jonathan, Maxim, Peter G., Keall, Paul J.
Formato: Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059554/
https://www.ncbi.nlm.nih.gov/pubmed/21081883
http://dx.doi.org/10.1120/jacmp.v11i4.3262
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author Cui, Guoqiang
Gopalan, Siddharth
Yamamoto, Tokihiro
Berger, Jonathan
Maxim, Peter G.
Keall, Paul J.
author_facet Cui, Guoqiang
Gopalan, Siddharth
Yamamoto, Tokihiro
Berger, Jonathan
Maxim, Peter G.
Keall, Paul J.
author_sort Cui, Guoqiang
collection PubMed
description A respiratory training system based on audiovisual biofeedback has been implemented at our institution. It is intended to improve patients' respiratory regularity during four‐dimensional (4D) computed tomography (CT) image acquisition. The purpose is to help eliminate the artifacts in 4D‐CT images caused by irregular breathing, as well as improve delivery efficiency during treatment, where respiratory irregularity is a concern. This article describes the commissioning and quality assurance (QA) procedures developed for this peripheral respiratory training system, the Stanford Respiratory Training (START) system. Using the Varian real‐time position management system for the respiratory signal input, the START software was commissioned and able to acquire sample respiratory traces, create a patient‐specific guiding waveform, and generate audiovisual signals for improving respiratory regularity. Routine QA tests that include hardware maintenance, visual guiding‐waveform creation, auditory sounds synchronization, and feedback assessment, have been developed for the START system. The QA procedures developed here for the START system could be easily adapted to other respiratory training systems based on audiovisual biofeedback. PACS number: 87.56.Fc
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spelling pubmed-30595542018-04-02 Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback Cui, Guoqiang Gopalan, Siddharth Yamamoto, Tokihiro Berger, Jonathan Maxim, Peter G. Keall, Paul J. J Appl Clin Med Phys Radiation Oncology Physics A respiratory training system based on audiovisual biofeedback has been implemented at our institution. It is intended to improve patients' respiratory regularity during four‐dimensional (4D) computed tomography (CT) image acquisition. The purpose is to help eliminate the artifacts in 4D‐CT images caused by irregular breathing, as well as improve delivery efficiency during treatment, where respiratory irregularity is a concern. This article describes the commissioning and quality assurance (QA) procedures developed for this peripheral respiratory training system, the Stanford Respiratory Training (START) system. Using the Varian real‐time position management system for the respiratory signal input, the START software was commissioned and able to acquire sample respiratory traces, create a patient‐specific guiding waveform, and generate audiovisual signals for improving respiratory regularity. Routine QA tests that include hardware maintenance, visual guiding‐waveform creation, auditory sounds synchronization, and feedback assessment, have been developed for the START system. The QA procedures developed here for the START system could be easily adapted to other respiratory training systems based on audiovisual biofeedback. PACS number: 87.56.Fc John Wiley and Sons Inc. 2010-07-12 /pmc/articles/PMC3059554/ /pubmed/21081883 http://dx.doi.org/10.1120/jacmp.v11i4.3262 Text en © 2010 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Cui, Guoqiang
Gopalan, Siddharth
Yamamoto, Tokihiro
Berger, Jonathan
Maxim, Peter G.
Keall, Paul J.
Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback
title Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback
title_full Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback
title_fullStr Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback
title_full_unstemmed Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback
title_short Commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback
title_sort commissioning and quality assurance for a respiratory training system based on audiovisual biofeedback
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059554/
https://www.ncbi.nlm.nih.gov/pubmed/21081883
http://dx.doi.org/10.1120/jacmp.v11i4.3262
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