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Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles

Fetal echocardiography is an operator-dependent examination technique requiring a high level of expertise. Pulsed-wave Doppler (PWD) is often used as a reference for the mechanical activity of the heart, from which several quantitative parameters can be extracted. These aspects suggest the developme...

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Autores principales: Sulas, Eleonora, Ortu, Emanuele, Urru, Monica, Tumbarello, Roberto, Raffo, Luigi, Solinas, Giuliana, Pani, Danilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081200/
https://www.ncbi.nlm.nih.gov/pubmed/33909636
http://dx.doi.org/10.1371/journal.pone.0248114
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author Sulas, Eleonora
Ortu, Emanuele
Urru, Monica
Tumbarello, Roberto
Raffo, Luigi
Solinas, Giuliana
Pani, Danilo
author_facet Sulas, Eleonora
Ortu, Emanuele
Urru, Monica
Tumbarello, Roberto
Raffo, Luigi
Solinas, Giuliana
Pani, Danilo
author_sort Sulas, Eleonora
collection PubMed
description Fetal echocardiography is an operator-dependent examination technique requiring a high level of expertise. Pulsed-wave Doppler (PWD) is often used as a reference for the mechanical activity of the heart, from which several quantitative parameters can be extracted. These aspects suggest the development of software tools that can reliably identify complete and clinically meaningful fetal cardiac cycles that can enable their automatic measurement. Several scientific works have addressed the tracing of the PWD velocity envelope. In this work, we assess the different steps involved in the signal processing chains that enable PWD envelope tracing. We apply a supervised classifier trained on envelopes traced by different signal processing chains for distinguishing complete and measurable PWD heartbeats from incomplete or malformed ones, which makes it possible to determine the impact of each of the different processing steps on the detection accuracy. In this study, we collected 43 images and labeled 174,319 PWD segments from 25 pregnant women volunteers. By considering seven envelope tracing techniques and the 23 different processing steps involved in their implementation, the results of our study reveal that, compared to the steps investigated in most other works, those that achieve binarisation and envelope extraction are significantly more important (p < 0.05). The best approaches among those studied enabled greater than 98% accuracy on our large manually annotated dataset.
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spelling pubmed-80812002021-05-06 Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles Sulas, Eleonora Ortu, Emanuele Urru, Monica Tumbarello, Roberto Raffo, Luigi Solinas, Giuliana Pani, Danilo PLoS One Research Article Fetal echocardiography is an operator-dependent examination technique requiring a high level of expertise. Pulsed-wave Doppler (PWD) is often used as a reference for the mechanical activity of the heart, from which several quantitative parameters can be extracted. These aspects suggest the development of software tools that can reliably identify complete and clinically meaningful fetal cardiac cycles that can enable their automatic measurement. Several scientific works have addressed the tracing of the PWD velocity envelope. In this work, we assess the different steps involved in the signal processing chains that enable PWD envelope tracing. We apply a supervised classifier trained on envelopes traced by different signal processing chains for distinguishing complete and measurable PWD heartbeats from incomplete or malformed ones, which makes it possible to determine the impact of each of the different processing steps on the detection accuracy. In this study, we collected 43 images and labeled 174,319 PWD segments from 25 pregnant women volunteers. By considering seven envelope tracing techniques and the 23 different processing steps involved in their implementation, the results of our study reveal that, compared to the steps investigated in most other works, those that achieve binarisation and envelope extraction are significantly more important (p < 0.05). The best approaches among those studied enabled greater than 98% accuracy on our large manually annotated dataset. Public Library of Science 2021-04-28 /pmc/articles/PMC8081200/ /pubmed/33909636 http://dx.doi.org/10.1371/journal.pone.0248114 Text en © 2021 Sulas et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sulas, Eleonora
Ortu, Emanuele
Urru, Monica
Tumbarello, Roberto
Raffo, Luigi
Solinas, Giuliana
Pani, Danilo
Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles
title Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles
title_full Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles
title_fullStr Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles
title_full_unstemmed Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles
title_short Impact of pulsed-wave-Doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles
title_sort impact of pulsed-wave-doppler velocity-envelope tracing techniques on classification of complete fetal cardiac cycles
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081200/
https://www.ncbi.nlm.nih.gov/pubmed/33909636
http://dx.doi.org/10.1371/journal.pone.0248114
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