Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images

OBJECTIVES: To compare the robustness of several methods based on quantitative ultrasound (US) texture analysis to evaluate its feasibility for extracting features from US images to use as a clinical diagnostic tool. METHODS: We compared, ranked, and validated the robustness of 5 texture-based metho...

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Authors: Pérez Moreno, Álvaro, Dominguez, Mara, Migliorelli, Federico, Gratacós Solsona, Eduard, Palacio, Montse, Bonet Carné, Elisenda
Format: article
Status:Versión aceptada para publicación
Publication Date:2018
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/125608
Online Access:https://hdl.handle.net/2445/125608
Access Level:Open access
Keyword:Ecografia fetal
Fetal ultrasonic imaging
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spelling Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound imagesPérez Moreno, ÁlvaroDominguez, MaraMigliorelli, FedericoGratacós Solsona, EduardPalacio, MontseBonet Carné, ElisendaEcografia fetalFetal ultrasonic imagingOBJECTIVES: To compare the robustness of several methods based on quantitative ultrasound (US) texture analysis to evaluate its feasibility for extracting features from US images to use as a clinical diagnostic tool. METHODS: We compared, ranked, and validated the robustness of 5 texture-based methods for extracting textural features from US images acquired under different conditions. For comparison and ranking purposes, we used 13,171 non-US images from widely known available databases (OUTEX [University of Oulu, Oulu, Finland] and PHOTEX [Texture Lab, Heriot-Watt University, Edinburgh, Scotland]), which were specifically acquired under different controlled parameters (illumination, resolution, and rotation) from 103 textures. The robustness of those methods with better results from the non-US images was validated by using 666 fetal lung US images acquired from singleton pregnancies. In this study, 2 similarity measurements (correlation and Chebyshev distances) were used to evaluate the repeatability of the features extracted from the same tissue images. RESULTS: Three of the 5 methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) had favorably robust performance when using the non-US database. In fact, these methods showed similarity values close to 0 for the acquisition variations and delineations. Results from the US database confirmed robustness for all of the evaluated methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) when comparing the same texture obtained from different regions of the image (proximal/distal lungs and US machine brand stratification). CONCLUSIONS: Our results confirmed that texture analysis can be robust (high similarity for different condition acquisitions) with potential to be included as a clinical tool.American Institute of Ultrasound in Medicine2018201920182018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersion40 p.application/pdfhttps://hdl.handle.net/2445/125608Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1002/jum.14824Journal of Ultrasound in Medicine, 2018https://doi.org/10.1002/jum.14824(c) American Institute of Ultrasound in Medicine, 2018info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1256082026-05-29T05:05:01Z
dc.title.none.fl_str_mv Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
title Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
spellingShingle Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
Pérez Moreno, Álvaro
Ecografia fetal
Fetal ultrasonic imaging
title_short Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
title_full Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
title_fullStr Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
title_full_unstemmed Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
title_sort Clinical feasibility of quantitative ultrasound texture analysis: A robustness study using fetal lung ultrasound images
dc.creator.none.fl_str_mv Pérez Moreno, Álvaro
Dominguez, Mara
Migliorelli, Federico
Gratacós Solsona, Eduard
Palacio, Montse
Bonet Carné, Elisenda
author Pérez Moreno, Álvaro
author_facet Pérez Moreno, Álvaro
Dominguez, Mara
Migliorelli, Federico
Gratacós Solsona, Eduard
Palacio, Montse
Bonet Carné, Elisenda
author_role author
author2 Dominguez, Mara
Migliorelli, Federico
Gratacós Solsona, Eduard
Palacio, Montse
Bonet Carné, Elisenda
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ecografia fetal
Fetal ultrasonic imaging
topic Ecografia fetal
Fetal ultrasonic imaging
description OBJECTIVES: To compare the robustness of several methods based on quantitative ultrasound (US) texture analysis to evaluate its feasibility for extracting features from US images to use as a clinical diagnostic tool. METHODS: We compared, ranked, and validated the robustness of 5 texture-based methods for extracting textural features from US images acquired under different conditions. For comparison and ranking purposes, we used 13,171 non-US images from widely known available databases (OUTEX [University of Oulu, Oulu, Finland] and PHOTEX [Texture Lab, Heriot-Watt University, Edinburgh, Scotland]), which were specifically acquired under different controlled parameters (illumination, resolution, and rotation) from 103 textures. The robustness of those methods with better results from the non-US images was validated by using 666 fetal lung US images acquired from singleton pregnancies. In this study, 2 similarity measurements (correlation and Chebyshev distances) were used to evaluate the repeatability of the features extracted from the same tissue images. RESULTS: Three of the 5 methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) had favorably robust performance when using the non-US database. In fact, these methods showed similarity values close to 0 for the acquisition variations and delineations. Results from the US database confirmed robustness for all of the evaluated methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) when comparing the same texture obtained from different regions of the image (proximal/distal lungs and US machine brand stratification). CONCLUSIONS: Our results confirmed that texture analysis can be robust (high similarity for different condition acquisitions) with potential to be included as a clinical tool.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018
2018
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/125608
url https://hdl.handle.net/2445/125608
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1002/jum.14824
Journal of Ultrasound in Medicine, 2018
https://doi.org/10.1002/jum.14824
dc.rights.none.fl_str_mv (c) American Institute of Ultrasound in Medicine, 2018
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) American Institute of Ultrasound in Medicine, 2018
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 40 p.
application/pdf
dc.publisher.none.fl_str_mv American Institute of Ultrasound in Medicine
publisher.none.fl_str_mv American Institute of Ultrasound in Medicine
dc.source.none.fl_str_mv Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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