Cargando…

Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera

PURPOSE: As C‐arm linac radiation therapy evolves toward faster, more efficient delivery, and more conformal dosimetry, treatments with increasingly complex couch motions are emerging. Monitoring the patient motion independently of the couch motion during non‐coplanar, non‐isocentric, or dynamic cou...

Descripción completa

Detalles Bibliográficos
Autores principales: Gasparyan, Sergey, Ko, Kyle, Skinner, Lawrie B., Ko, Ryan B., Loo, Billy W., Fahimian, Benjamin P., Yu, Amy S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075370/
https://www.ncbi.nlm.nih.gov/pubmed/32107845
http://dx.doi.org/10.1002/acm2.12842
_version_ 1783507028216381440
author Gasparyan, Sergey
Ko, Kyle
Skinner, Lawrie B.
Ko, Ryan B.
Loo, Billy W.
Fahimian, Benjamin P.
Yu, Amy S.
author_facet Gasparyan, Sergey
Ko, Kyle
Skinner, Lawrie B.
Ko, Ryan B.
Loo, Billy W.
Fahimian, Benjamin P.
Yu, Amy S.
author_sort Gasparyan, Sergey
collection PubMed
description PURPOSE: As C‐arm linac radiation therapy evolves toward faster, more efficient delivery, and more conformal dosimetry, treatments with increasingly complex couch motions are emerging. Monitoring the patient motion independently of the couch motion during non‐coplanar, non‐isocentric, or dynamic couch treatments is a key bottleneck to their clinical implementation. The goal of this study is to develop a prototype real‐time monitoring system for unconventional beam trajectories to ensure a safe and accurate treatment delivery. METHODS: An in‐house algorithm was developed for tracking using a couch‐mounted three‐dimensional (3D) depth camera. The accuracy of patient motion detection on the couch was tested on a 3D printed phantom created from the body surface contour exported from the treatment planning system. The technique was evaluated against a commercial optical surface monitoring system with known phantom displacements of 3, 5, and 7 mm in lateral, longitudinal, and vertical directions by placing a head phantom on a dynamic platform on the treatment couch. The stability of the monitoring system was evaluated during dynamic couch trajectories, at speeds between 10.6 and 65 cm/min. RESULTS: The proposed monitoring system agreed with the ceiling mounted optical surface monitoring system in longitudinal, lateral, and vertical directions within 0.5 mm. The uncertainty caused by couch vibration increased with couch speed but remained sub‐millimeter for speeds up to 32 cm/min. For couch speeds of 10.6, 32.2, and 65 cm/min, the uncertainty ranges were 0.27– 0.73 mm, 0.15–0.87 mm, and 0.28–1.29 mm, respectively. CONCLUSION: By mounting a 3D camera in the same frame‐of‐reference as the patient and eliminating dead spots, this proof of concept demonstrates real‐time patient monitoring during couch motion. For treatments with non‐coplanar beams, multiple isocenters, or dynamic couch motion, this provides additional safety without additional radiation dose and avoids some of the complexity and limitations of room mounted systems.
format Online
Article
Text
id pubmed-7075370
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-70753702020-03-17 Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera Gasparyan, Sergey Ko, Kyle Skinner, Lawrie B. Ko, Ryan B. Loo, Billy W. Fahimian, Benjamin P. Yu, Amy S. J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: As C‐arm linac radiation therapy evolves toward faster, more efficient delivery, and more conformal dosimetry, treatments with increasingly complex couch motions are emerging. Monitoring the patient motion independently of the couch motion during non‐coplanar, non‐isocentric, or dynamic couch treatments is a key bottleneck to their clinical implementation. The goal of this study is to develop a prototype real‐time monitoring system for unconventional beam trajectories to ensure a safe and accurate treatment delivery. METHODS: An in‐house algorithm was developed for tracking using a couch‐mounted three‐dimensional (3D) depth camera. The accuracy of patient motion detection on the couch was tested on a 3D printed phantom created from the body surface contour exported from the treatment planning system. The technique was evaluated against a commercial optical surface monitoring system with known phantom displacements of 3, 5, and 7 mm in lateral, longitudinal, and vertical directions by placing a head phantom on a dynamic platform on the treatment couch. The stability of the monitoring system was evaluated during dynamic couch trajectories, at speeds between 10.6 and 65 cm/min. RESULTS: The proposed monitoring system agreed with the ceiling mounted optical surface monitoring system in longitudinal, lateral, and vertical directions within 0.5 mm. The uncertainty caused by couch vibration increased with couch speed but remained sub‐millimeter for speeds up to 32 cm/min. For couch speeds of 10.6, 32.2, and 65 cm/min, the uncertainty ranges were 0.27– 0.73 mm, 0.15–0.87 mm, and 0.28–1.29 mm, respectively. CONCLUSION: By mounting a 3D camera in the same frame‐of‐reference as the patient and eliminating dead spots, this proof of concept demonstrates real‐time patient monitoring during couch motion. For treatments with non‐coplanar beams, multiple isocenters, or dynamic couch motion, this provides additional safety without additional radiation dose and avoids some of the complexity and limitations of room mounted systems. John Wiley and Sons Inc. 2020-02-28 /pmc/articles/PMC7075370/ /pubmed/32107845 http://dx.doi.org/10.1002/acm2.12842 Text en © 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Gasparyan, Sergey
Ko, Kyle
Skinner, Lawrie B.
Ko, Ryan B.
Loo, Billy W.
Fahimian, Benjamin P.
Yu, Amy S.
Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera
title Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera
title_full Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera
title_fullStr Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera
title_full_unstemmed Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera
title_short Patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3D camera
title_sort patient motion tracking for non‐isocentric and non‐coplanar treatments via fixed frame‐of‐reference 3d camera
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075370/
https://www.ncbi.nlm.nih.gov/pubmed/32107845
http://dx.doi.org/10.1002/acm2.12842
work_keys_str_mv AT gasparyansergey patientmotiontrackingfornonisocentricandnoncoplanartreatmentsviafixedframeofreference3dcamera
AT kokyle patientmotiontrackingfornonisocentricandnoncoplanartreatmentsviafixedframeofreference3dcamera
AT skinnerlawrieb patientmotiontrackingfornonisocentricandnoncoplanartreatmentsviafixedframeofreference3dcamera
AT koryanb patientmotiontrackingfornonisocentricandnoncoplanartreatmentsviafixedframeofreference3dcamera
AT loobillyw patientmotiontrackingfornonisocentricandnoncoplanartreatmentsviafixedframeofreference3dcamera
AT fahimianbenjaminp patientmotiontrackingfornonisocentricandnoncoplanartreatmentsviafixedframeofreference3dcamera
AT yuamys patientmotiontrackingfornonisocentricandnoncoplanartreatmentsviafixedframeofreference3dcamera