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Published in: Radiation Oncology 1/2020

01-12-2020 | Radiotherapy | Research

Accuracy of real-time respiratory motion tracking and time delay of gating radiotherapy based on optical surface imaging technique

Authors: Li Chen, Sen Bai, Guangjun Li, Zhibin Li, Qing Xiao, Long Bai, Changhu Li, Lixun Xian, Zhenyao Hu, Guyu Dai, Guangyu Wang

Published in: Radiation Oncology | Issue 1/2020

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Abstract

Background

Surface-guided radiation therapy (SGRT) employs a non-invasive real-time optical surface imaging (OSI) technique for patient surface motion monitoring during radiotherapy. The main purpose of this study is to verify the real-time tracking accuracy of SGRT for respiratory motion and provide a fitting method to detect the time delay of gating.

Methods

A respiratory motion phantom was utilized to simulate respiratory motion using 17 cosine breathing pattern curves with various periods and amplitudes. The motion tracking of the phantom was performed by the Catalyst™ system. The tracking accuracy of the system (with period and amplitude variations) was evaluated by analyzing the adjusted coefficient of determination (A_R2) and root mean square error (RMSE). Furthermore, 13 actual respiratory curves, which were categorized into regular and irregular patterns, were selected and then simulated by the phantom. The Fourier transform was applied to the respiratory curves, and tracking accuracy was compared through the quantitative analyses of curve similarity using the Pearson correlation coefficient (PCC). In addition, the time delay of amplitude-based respiratory-gating radiotherapy based on the OSI system with various beam hold times was tested using film dosimetry for the Elekta Versa-HD and Varian Edge linacs. A dose convolution-fitting method was provided to accurately measure the beam-on and beam-off time delays.

Results

A_R2 and RMSE for the cosine curves were 0.9990–0.9996 and 0.110–0.241 mm for periods ranging from 1 s to 10 s and 0.9990–0.9994 and 0.059–0.175 mm for amplitudes ranging from 3 mm to 15 mm. The PCC for the actual respiratory curves ranged from 0.9955 to 0.9994, which was not significantly affected by breathing patterns. For gating radiotherapy, the average beam-on and beam-off time delays were 1664 ± 72 and 25 ± 30 ms for Versa-HD and 303 ± 45 and 34 ± 25 ms for Edge, respectively. The time delay was relatively stable as the beam hold time increased.

Conclusions

The OSI technique provides high accuracy for respiratory motion tracking. The proposed dose convolution-fitting method can accurately measure the time delay of respiratory-gating radiotherapy. When the OSI technique is used for respiratory-gating radiotherapy, the time delay for the beam-on is considerably longer than the beam-off.
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Literature
13.
14.
23.
go back to reference Saito M, Sano N, Ueda K, Shibata Y, Kuriyama K, Komiyama T, et al. Technical note: evaluation of the latency and the beam characteristics of a respiratory gating system using an Elekta linear accelerator and a respiratory indicator device, Abches. Med Phys. 2018;45:74–80. https://doi.org/10.1002/mp.12664.CrossRefPubMed Saito M, Sano N, Ueda K, Shibata Y, Kuriyama K, Komiyama T, et al. Technical note: evaluation of the latency and the beam characteristics of a respiratory gating system using an Elekta linear accelerator and a respiratory indicator device, Abches. Med Phys. 2018;45:74–80. https://​doi.​org/​10.​1002/​mp.​12664.CrossRefPubMed
30.
go back to reference Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: L. Erlbaum Associates; 1988. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: L. Erlbaum Associates; 1988.
Metadata
Title
Accuracy of real-time respiratory motion tracking and time delay of gating radiotherapy based on optical surface imaging technique
Authors
Li Chen
Sen Bai
Guangjun Li
Zhibin Li
Qing Xiao
Long Bai
Changhu Li
Lixun Xian
Zhenyao Hu
Guyu Dai
Guangyu Wang
Publication date
01-12-2020
Publisher
BioMed Central
Keyword
Radiotherapy
Published in
Radiation Oncology / Issue 1/2020
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/s13014-020-01611-6

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