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Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool

BACKGROUND: Conventional ultrasound (US) provides important qualitative information, although there is a need to evaluate the influence of the input parameters on the output signal and standardise the acquisition for an adequate quantitative perfusion assessment. The present study analyses how the v...

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Autores principales: Alberich-Bayarri, Ángel, Tomás-Cucarella, Jose, Torregrosa-Lloret, Alfredo, Sáiz Rodriguez, Javier, Martí-Bonmatí, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447630/
https://www.ncbi.nlm.nih.gov/pubmed/30945029
http://dx.doi.org/10.1186/s41747-019-0086-5
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author Alberich-Bayarri, Ángel
Tomás-Cucarella, Jose
Torregrosa-Lloret, Alfredo
Sáiz Rodriguez, Javier
Martí-Bonmatí, Luis
author_facet Alberich-Bayarri, Ángel
Tomás-Cucarella, Jose
Torregrosa-Lloret, Alfredo
Sáiz Rodriguez, Javier
Martí-Bonmatí, Luis
author_sort Alberich-Bayarri, Ángel
collection PubMed
description BACKGROUND: Conventional ultrasound (US) provides important qualitative information, although there is a need to evaluate the influence of the input parameters on the output signal and standardise the acquisition for an adequate quantitative perfusion assessment. The present study analyses how the variation in the input parameters influences the measurement of the perfusion parameters. METHODS: A software tool with simulator of the conventional US signal was created, and the influence of the different input variables on the derived biomarkers was analysed by varying the image acquisition configuration. The input parameters considered were the dynamic range, gain, and frequency of the transducer. Their influence on mean transit time (MTT), the area under the curve (AUC), maximum intensity (MI), and time to peak (TTP) parameters as outputs of the quantitative perfusion analysis was evaluated. A group of 13 patients with hepatocarcinoma was analysed with both a commercial tool and an in-house developed software. RESULTS: The optimal calculated inputs which minimise errors while preserving images’ readability consisted of gain of 15 dB, dynamic range of 60 dB, and frequency of 1.5 MHz. The comparison between the in-house developed software and the commercial software provided different values for MTT and AUC, while MI and TTP were highly similar. CONCLUSION: Input parameter selection introduces variability and errors in US perfusion parameter estimation. Our results may add relevant insight into the current knowledge of conventional US perfusion and its use in lesions characterisation, playing in favour of optimised standardised parameter configuration to minimise variability.
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spelling pubmed-64476302019-04-20 Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool Alberich-Bayarri, Ángel Tomás-Cucarella, Jose Torregrosa-Lloret, Alfredo Sáiz Rodriguez, Javier Martí-Bonmatí, Luis Eur Radiol Exp Original Article BACKGROUND: Conventional ultrasound (US) provides important qualitative information, although there is a need to evaluate the influence of the input parameters on the output signal and standardise the acquisition for an adequate quantitative perfusion assessment. The present study analyses how the variation in the input parameters influences the measurement of the perfusion parameters. METHODS: A software tool with simulator of the conventional US signal was created, and the influence of the different input variables on the derived biomarkers was analysed by varying the image acquisition configuration. The input parameters considered were the dynamic range, gain, and frequency of the transducer. Their influence on mean transit time (MTT), the area under the curve (AUC), maximum intensity (MI), and time to peak (TTP) parameters as outputs of the quantitative perfusion analysis was evaluated. A group of 13 patients with hepatocarcinoma was analysed with both a commercial tool and an in-house developed software. RESULTS: The optimal calculated inputs which minimise errors while preserving images’ readability consisted of gain of 15 dB, dynamic range of 60 dB, and frequency of 1.5 MHz. The comparison between the in-house developed software and the commercial software provided different values for MTT and AUC, while MI and TTP were highly similar. CONCLUSION: Input parameter selection introduces variability and errors in US perfusion parameter estimation. Our results may add relevant insight into the current knowledge of conventional US perfusion and its use in lesions characterisation, playing in favour of optimised standardised parameter configuration to minimise variability. Springer International Publishing 2019-04-03 /pmc/articles/PMC6447630/ /pubmed/30945029 http://dx.doi.org/10.1186/s41747-019-0086-5 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Alberich-Bayarri, Ángel
Tomás-Cucarella, Jose
Torregrosa-Lloret, Alfredo
Sáiz Rodriguez, Javier
Martí-Bonmatí, Luis
Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool
title Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool
title_full Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool
title_fullStr Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool
title_full_unstemmed Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool
title_short Optimisation of ultrasound liver perfusion through a digital reference object and analysis tool
title_sort optimisation of ultrasound liver perfusion through a digital reference object and analysis tool
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447630/
https://www.ncbi.nlm.nih.gov/pubmed/30945029
http://dx.doi.org/10.1186/s41747-019-0086-5
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