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A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation

BACKGROUND: The energy spectrum is the property of the X-ray tube that describes the energy fluence per unit interval of photon energy. The existing indirect methods for estimating the spectrum ignore the influence caused by the voltage fluctuation of the X-ray tube. METHODS: In this work, we propos...

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Autores principales: Pan, Zengxiang, Li, Xu, Lin, Guoqin, Qin, Peishan, Piao, Zun, Huang, Shuang, Wu, Wangjiang, Qi, Mengke, Zhou, Linghong, Xu, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239992/
https://www.ncbi.nlm.nih.gov/pubmed/37284079
http://dx.doi.org/10.21037/qims-22-1055
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author Pan, Zengxiang
Li, Xu
Lin, Guoqin
Qin, Peishan
Piao, Zun
Huang, Shuang
Wu, Wangjiang
Qi, Mengke
Zhou, Linghong
Xu, Yuan
author_facet Pan, Zengxiang
Li, Xu
Lin, Guoqin
Qin, Peishan
Piao, Zun
Huang, Shuang
Wu, Wangjiang
Qi, Mengke
Zhou, Linghong
Xu, Yuan
author_sort Pan, Zengxiang
collection PubMed
description BACKGROUND: The energy spectrum is the property of the X-ray tube that describes the energy fluence per unit interval of photon energy. The existing indirect methods for estimating the spectrum ignore the influence caused by the voltage fluctuation of the X-ray tube. METHODS: In this work, we propose a method for estimating the X-ray energy spectrum more accurately by including the voltage fluctuation of the X-ray tube. It expresses the spectrum as the weighted summation of a set of model spectra within a certain voltage fluctuation range. The difference between the raw projection and the estimated projection is considered as the objective function for obtaining the corresponding weight of each model spectrum. The equilibrium optimizer (EO) algorithm is used to find the weight combination that minimizes the objective function. Finally, the estimated spectrum is obtained. We refer to the proposed method as the poly-voltage method. The method is mainly aimed at the cone-beam computed tomography (CBCT) system. RESULTS: The model spectra mixture evaluation and projection evaluation showed that the reference spectrum can be combined by multiple model spectra. They also showed that it is appropriate to choose about 10% of the preset voltage as the voltage range of the model spectra, which can match the reference spectrum and projection quite well. The phantom evaluation showed that the beam-hardening artifact can be corrected using the estimated spectrum via the poly-voltage method, and the poly-voltage method provides not only the accurate reprojection but also an accurate spectrum. The normalized root mean square error (NRMSE) index between the spectrum generated via the poly-voltage method and the reference spectrum could be kept within 3% according to above evaluations. There existed a 1.77% percentage error between the estimated scatter of polymethyl methacrylate (PMMA) phantom using the two spectra generated via the poly-voltage method and the single-voltage method, and it could be considered for scatter simulation. CONCLUSIONS: Our proposed poly-voltage method could estimate the spectrum more accurately for both ideal and more realistic voltage spectra, and it is robust to the different modes of voltage pulse.
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spelling pubmed-102399922023-06-06 A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation Pan, Zengxiang Li, Xu Lin, Guoqin Qin, Peishan Piao, Zun Huang, Shuang Wu, Wangjiang Qi, Mengke Zhou, Linghong Xu, Yuan Quant Imaging Med Surg Original Article BACKGROUND: The energy spectrum is the property of the X-ray tube that describes the energy fluence per unit interval of photon energy. The existing indirect methods for estimating the spectrum ignore the influence caused by the voltage fluctuation of the X-ray tube. METHODS: In this work, we propose a method for estimating the X-ray energy spectrum more accurately by including the voltage fluctuation of the X-ray tube. It expresses the spectrum as the weighted summation of a set of model spectra within a certain voltage fluctuation range. The difference between the raw projection and the estimated projection is considered as the objective function for obtaining the corresponding weight of each model spectrum. The equilibrium optimizer (EO) algorithm is used to find the weight combination that minimizes the objective function. Finally, the estimated spectrum is obtained. We refer to the proposed method as the poly-voltage method. The method is mainly aimed at the cone-beam computed tomography (CBCT) system. RESULTS: The model spectra mixture evaluation and projection evaluation showed that the reference spectrum can be combined by multiple model spectra. They also showed that it is appropriate to choose about 10% of the preset voltage as the voltage range of the model spectra, which can match the reference spectrum and projection quite well. The phantom evaluation showed that the beam-hardening artifact can be corrected using the estimated spectrum via the poly-voltage method, and the poly-voltage method provides not only the accurate reprojection but also an accurate spectrum. The normalized root mean square error (NRMSE) index between the spectrum generated via the poly-voltage method and the reference spectrum could be kept within 3% according to above evaluations. There existed a 1.77% percentage error between the estimated scatter of polymethyl methacrylate (PMMA) phantom using the two spectra generated via the poly-voltage method and the single-voltage method, and it could be considered for scatter simulation. CONCLUSIONS: Our proposed poly-voltage method could estimate the spectrum more accurately for both ideal and more realistic voltage spectra, and it is robust to the different modes of voltage pulse. AME Publishing Company 2023-04-07 2023-06-01 /pmc/articles/PMC10239992/ /pubmed/37284079 http://dx.doi.org/10.21037/qims-22-1055 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Pan, Zengxiang
Li, Xu
Lin, Guoqin
Qin, Peishan
Piao, Zun
Huang, Shuang
Wu, Wangjiang
Qi, Mengke
Zhou, Linghong
Xu, Yuan
A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation
title A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation
title_full A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation
title_fullStr A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation
title_full_unstemmed A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation
title_short A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation
title_sort transmission measurement-based spectrum estimation method incorporating x-ray tube voltage fluctuation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239992/
https://www.ncbi.nlm.nih.gov/pubmed/37284079
http://dx.doi.org/10.21037/qims-22-1055
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