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Visually guided respiratory motion management for Ethos adaptive radiotherapy
PURPOSE: Ethos adaptive radiotherapy (ART) is emerging with AI‐enhanced adaptive planning and high‐quality cone‐beam computed tomography (CBCT). Although a respiratory motion management solution is critical for reducing motion artifacts on abdominothoracic CBCT and improving tumor motion control dur...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803298/ https://www.ncbi.nlm.nih.gov/pubmed/34697865 http://dx.doi.org/10.1002/acm2.13441 |
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author | Kim, Taeho Ji, Zhen Lewis, Benjamin Laugeman, Eric Price, Alex Hao, Yao Hugo, Geoffrey Knutson, Nels Cai, Bin Kim, Hyun Henke, Lauren |
author_facet | Kim, Taeho Ji, Zhen Lewis, Benjamin Laugeman, Eric Price, Alex Hao, Yao Hugo, Geoffrey Knutson, Nels Cai, Bin Kim, Hyun Henke, Lauren |
author_sort | Kim, Taeho |
collection | PubMed |
description | PURPOSE: Ethos adaptive radiotherapy (ART) is emerging with AI‐enhanced adaptive planning and high‐quality cone‐beam computed tomography (CBCT). Although a respiratory motion management solution is critical for reducing motion artifacts on abdominothoracic CBCT and improving tumor motion control during beam delivery, our institutional Ethos system has not incorporated a commercial solution. Here we developed an institutional visually guided respiratory motion management system to coach patients in regular breathing or breath hold during intrafractional CBCT scans and beam delivery with Ethos ART. METHODS: The institutional visual‐guidance respiratory motion management system has three components: (1) a respiratory motion detection system, (2) an in‐room display system, and (3) a respiratory motion trace management software. Each component has been developed and implemented in the clinical Ethos ART workflow. The applicability of the solution was demonstrated in installation, routine QA, and clinical workflow. RESULTS: An air pressure sensor has been utilized to detect patient respiratory motion in real time. Either a commercial or in‐house software handled respiratory motion trace display, collection and visualization for operators, and visual guidance for patients. An extended screen and a projector on an adjustable stand were installed as the in‐room visual guidance solution for the closed‐bore ring gantry medical linear accelerator utilized by Ethos. Consistent respiratory motion traces and organ positions on intrafractional CBCTs demonstrated the clinical suitability of the proposed solution in Ethos ART. CONCLUSION: The study demonstrated the utilization of an institutional visually guided respiratory motion management system for Ethos ART. The proposed solution can be easily applied for Ethos ART and adapted for use with any closed bore‐type system, such as computed tomography and magnetic resonance imaging, through incorporation with appropriate respiratory motion sensors. |
format | Online Article Text |
id | pubmed-8803298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88032982022-02-04 Visually guided respiratory motion management for Ethos adaptive radiotherapy Kim, Taeho Ji, Zhen Lewis, Benjamin Laugeman, Eric Price, Alex Hao, Yao Hugo, Geoffrey Knutson, Nels Cai, Bin Kim, Hyun Henke, Lauren J Appl Clin Med Phys Technical Notes PURPOSE: Ethos adaptive radiotherapy (ART) is emerging with AI‐enhanced adaptive planning and high‐quality cone‐beam computed tomography (CBCT). Although a respiratory motion management solution is critical for reducing motion artifacts on abdominothoracic CBCT and improving tumor motion control during beam delivery, our institutional Ethos system has not incorporated a commercial solution. Here we developed an institutional visually guided respiratory motion management system to coach patients in regular breathing or breath hold during intrafractional CBCT scans and beam delivery with Ethos ART. METHODS: The institutional visual‐guidance respiratory motion management system has three components: (1) a respiratory motion detection system, (2) an in‐room display system, and (3) a respiratory motion trace management software. Each component has been developed and implemented in the clinical Ethos ART workflow. The applicability of the solution was demonstrated in installation, routine QA, and clinical workflow. RESULTS: An air pressure sensor has been utilized to detect patient respiratory motion in real time. Either a commercial or in‐house software handled respiratory motion trace display, collection and visualization for operators, and visual guidance for patients. An extended screen and a projector on an adjustable stand were installed as the in‐room visual guidance solution for the closed‐bore ring gantry medical linear accelerator utilized by Ethos. Consistent respiratory motion traces and organ positions on intrafractional CBCTs demonstrated the clinical suitability of the proposed solution in Ethos ART. CONCLUSION: The study demonstrated the utilization of an institutional visually guided respiratory motion management system for Ethos ART. The proposed solution can be easily applied for Ethos ART and adapted for use with any closed bore‐type system, such as computed tomography and magnetic resonance imaging, through incorporation with appropriate respiratory motion sensors. John Wiley and Sons Inc. 2021-10-25 /pmc/articles/PMC8803298/ /pubmed/34697865 http://dx.doi.org/10.1002/acm2.13441 Text en © 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Notes Kim, Taeho Ji, Zhen Lewis, Benjamin Laugeman, Eric Price, Alex Hao, Yao Hugo, Geoffrey Knutson, Nels Cai, Bin Kim, Hyun Henke, Lauren Visually guided respiratory motion management for Ethos adaptive radiotherapy |
title | Visually guided respiratory motion management for Ethos adaptive radiotherapy |
title_full | Visually guided respiratory motion management for Ethos adaptive radiotherapy |
title_fullStr | Visually guided respiratory motion management for Ethos adaptive radiotherapy |
title_full_unstemmed | Visually guided respiratory motion management for Ethos adaptive radiotherapy |
title_short | Visually guided respiratory motion management for Ethos adaptive radiotherapy |
title_sort | visually guided respiratory motion management for ethos adaptive radiotherapy |
topic | Technical Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803298/ https://www.ncbi.nlm.nih.gov/pubmed/34697865 http://dx.doi.org/10.1002/acm2.13441 |
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