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Image quality improvement in cone-beam CT using the super-resolution technique

This study was conducted to improve cone-beam computed tomography (CBCT) image quality using the super-resolution technique, a method of inferring a high-resolution image from a low-resolution image. This technique is used with two matrices, so-called dictionaries, constructed respectively from high...

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Autores principales: Oyama, Asuka, Kumagai, Shinobu, Arai, Norikazu, Takata, Takeshi, Saikawa, Yusuke, Shiraishi, Kenshiro, Kobayashi, Takenori, Kotoku, Jun’ichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054223/
https://www.ncbi.nlm.nih.gov/pubmed/29659997
http://dx.doi.org/10.1093/jrr/rry019
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author Oyama, Asuka
Kumagai, Shinobu
Arai, Norikazu
Takata, Takeshi
Saikawa, Yusuke
Shiraishi, Kenshiro
Kobayashi, Takenori
Kotoku, Jun’ichi
author_facet Oyama, Asuka
Kumagai, Shinobu
Arai, Norikazu
Takata, Takeshi
Saikawa, Yusuke
Shiraishi, Kenshiro
Kobayashi, Takenori
Kotoku, Jun’ichi
author_sort Oyama, Asuka
collection PubMed
description This study was conducted to improve cone-beam computed tomography (CBCT) image quality using the super-resolution technique, a method of inferring a high-resolution image from a low-resolution image. This technique is used with two matrices, so-called dictionaries, constructed respectively from high-resolution and low-resolution image bases. For this study, a CBCT image, as a low-resolution image, is represented as a linear combination of atoms, the image bases in the low-resolution dictionary. The corresponding super-resolution image was inferred by multiplying the coefficients and the high-resolution dictionary atoms extracted from planning CT images. To evaluate the proposed method, we computed the root mean square error (RMSE) and structural similarity (SSIM). The resulting RMSE and SSIM between the super-resolution images and the planning CT images were, respectively, as much as 0.81 and 1.29 times better than those obtained without using the super-resolution technique. We used super-resolution technique to improve the CBCT image quality.
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spelling pubmed-60542232018-07-25 Image quality improvement in cone-beam CT using the super-resolution technique Oyama, Asuka Kumagai, Shinobu Arai, Norikazu Takata, Takeshi Saikawa, Yusuke Shiraishi, Kenshiro Kobayashi, Takenori Kotoku, Jun’ichi J Radiat Res Regular Paper This study was conducted to improve cone-beam computed tomography (CBCT) image quality using the super-resolution technique, a method of inferring a high-resolution image from a low-resolution image. This technique is used with two matrices, so-called dictionaries, constructed respectively from high-resolution and low-resolution image bases. For this study, a CBCT image, as a low-resolution image, is represented as a linear combination of atoms, the image bases in the low-resolution dictionary. The corresponding super-resolution image was inferred by multiplying the coefficients and the high-resolution dictionary atoms extracted from planning CT images. To evaluate the proposed method, we computed the root mean square error (RMSE) and structural similarity (SSIM). The resulting RMSE and SSIM between the super-resolution images and the planning CT images were, respectively, as much as 0.81 and 1.29 times better than those obtained without using the super-resolution technique. We used super-resolution technique to improve the CBCT image quality. Oxford University Press 2018-07 2018-04-05 /pmc/articles/PMC6054223/ /pubmed/29659997 http://dx.doi.org/10.1093/jrr/rry019 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of The Japan Radiation Research Society and Japanese Society for Radiation Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial reuse, please contact journals.permissions@oup.com
spellingShingle Regular Paper
Oyama, Asuka
Kumagai, Shinobu
Arai, Norikazu
Takata, Takeshi
Saikawa, Yusuke
Shiraishi, Kenshiro
Kobayashi, Takenori
Kotoku, Jun’ichi
Image quality improvement in cone-beam CT using the super-resolution technique
title Image quality improvement in cone-beam CT using the super-resolution technique
title_full Image quality improvement in cone-beam CT using the super-resolution technique
title_fullStr Image quality improvement in cone-beam CT using the super-resolution technique
title_full_unstemmed Image quality improvement in cone-beam CT using the super-resolution technique
title_short Image quality improvement in cone-beam CT using the super-resolution technique
title_sort image quality improvement in cone-beam ct using the super-resolution technique
topic Regular Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054223/
https://www.ncbi.nlm.nih.gov/pubmed/29659997
http://dx.doi.org/10.1093/jrr/rry019
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