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Development of an automatic evaluation method for patient positioning error

Highly accurate radiotherapy needs highly accurate patient positioning. At our facility, patient positioning is manually performed by radiology technicians. After the positioning, positioning error is measured by manually comparing some positions on a digital radiography image (DR) to the correspond...

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Autores principales: Kubota, Yoshiki, Tashiro, Mutsumi, Shinohara, Ayaka, Abe, Satoshi, Souda, Saki, Okada, Ryosuke, Ishii, Takayoshi, Kanai, Tatsuaki, Ohno, Tatsuya, Nakano, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690021/
https://www.ncbi.nlm.nih.gov/pubmed/26219004
http://dx.doi.org/10.1120/jacmp.v16i4.5400
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author Kubota, Yoshiki
Tashiro, Mutsumi
Shinohara, Ayaka
Abe, Satoshi
Souda, Saki
Okada, Ryosuke
Ishii, Takayoshi
Kanai, Tatsuaki
Ohno, Tatsuya
Nakano, Takashi
author_facet Kubota, Yoshiki
Tashiro, Mutsumi
Shinohara, Ayaka
Abe, Satoshi
Souda, Saki
Okada, Ryosuke
Ishii, Takayoshi
Kanai, Tatsuaki
Ohno, Tatsuya
Nakano, Takashi
author_sort Kubota, Yoshiki
collection PubMed
description Highly accurate radiotherapy needs highly accurate patient positioning. At our facility, patient positioning is manually performed by radiology technicians. After the positioning, positioning error is measured by manually comparing some positions on a digital radiography image (DR) to the corresponding positions on a digitally reconstructed radiography image (DRR). This method is prone to error and can be time‐consuming because of its manual nature. Therefore, we propose an automated measuring method for positioning error to improve patient throughput and achieve higher reliability. The error between a position on the DR and a position on the DRR was calculated to determine the best matched position using the block‐matching method. The zero‐mean normalized cross‐correlation was used as our evaluation function, and the Gaussian weight function was used to increase importance as the pixel position approached the isocenter. The accuracy of the calculation method was evaluated using pelvic phantom images, and the method's effectiveness was evaluated on images of prostate cancer patients before the positioning, comparing them with the results of radiology technicians' measurements. The root mean square error (RMSE) of the calculation method for the pelvic phantom was [Formula: see text]. The coefficients between the calculation method and the measurement results of the technicians were 0.989 for the phantom images and 0.980 for the patient images. The RMSE of the total evaluation results of positioning for prostate cancer patients using the calculation method was [Formula: see text]. Using the proposed method, we successfully measured residual positioning errors. The accuracy and effectiveness of the method was evaluated for pelvic phantom images and images of prostate cancer patients. In the future, positioning for cancer patients at other sites will be evaluated using the calculation method. Consequently, we expect an improvement in treatment throughput for these other sites. PACS number: 87
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spelling pubmed-56900212018-04-02 Development of an automatic evaluation method for patient positioning error Kubota, Yoshiki Tashiro, Mutsumi Shinohara, Ayaka Abe, Satoshi Souda, Saki Okada, Ryosuke Ishii, Takayoshi Kanai, Tatsuaki Ohno, Tatsuya Nakano, Takashi J Appl Clin Med Phys Radiation Oncology Physics Highly accurate radiotherapy needs highly accurate patient positioning. At our facility, patient positioning is manually performed by radiology technicians. After the positioning, positioning error is measured by manually comparing some positions on a digital radiography image (DR) to the corresponding positions on a digitally reconstructed radiography image (DRR). This method is prone to error and can be time‐consuming because of its manual nature. Therefore, we propose an automated measuring method for positioning error to improve patient throughput and achieve higher reliability. The error between a position on the DR and a position on the DRR was calculated to determine the best matched position using the block‐matching method. The zero‐mean normalized cross‐correlation was used as our evaluation function, and the Gaussian weight function was used to increase importance as the pixel position approached the isocenter. The accuracy of the calculation method was evaluated using pelvic phantom images, and the method's effectiveness was evaluated on images of prostate cancer patients before the positioning, comparing them with the results of radiology technicians' measurements. The root mean square error (RMSE) of the calculation method for the pelvic phantom was [Formula: see text]. The coefficients between the calculation method and the measurement results of the technicians were 0.989 for the phantom images and 0.980 for the patient images. The RMSE of the total evaluation results of positioning for prostate cancer patients using the calculation method was [Formula: see text]. Using the proposed method, we successfully measured residual positioning errors. The accuracy and effectiveness of the method was evaluated for pelvic phantom images and images of prostate cancer patients. In the future, positioning for cancer patients at other sites will be evaluated using the calculation method. Consequently, we expect an improvement in treatment throughput for these other sites. PACS number: 87 John Wiley and Sons Inc. 2015-07-08 /pmc/articles/PMC5690021/ /pubmed/26219004 http://dx.doi.org/10.1120/jacmp.v16i4.5400 Text en © 2015 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
Kubota, Yoshiki
Tashiro, Mutsumi
Shinohara, Ayaka
Abe, Satoshi
Souda, Saki
Okada, Ryosuke
Ishii, Takayoshi
Kanai, Tatsuaki
Ohno, Tatsuya
Nakano, Takashi
Development of an automatic evaluation method for patient positioning error
title Development of an automatic evaluation method for patient positioning error
title_full Development of an automatic evaluation method for patient positioning error
title_fullStr Development of an automatic evaluation method for patient positioning error
title_full_unstemmed Development of an automatic evaluation method for patient positioning error
title_short Development of an automatic evaluation method for patient positioning error
title_sort development of an automatic evaluation method for patient positioning error
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690021/
https://www.ncbi.nlm.nih.gov/pubmed/26219004
http://dx.doi.org/10.1120/jacmp.v16i4.5400
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