Real-time ultrasound shear wave elastography using a local phase gradient

[EN] Background and Objective: Current approaches for ultrasound spectral elastography make use of block processing, resulting in long computational times. This work describes a real-time, robust, and quantitative imaging modality to map the elastic and viscoelastic properties of soft tissues using...

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Autores: González-Mateo, Enrique, Camarena Femenia, Francisco|||0000-0002-6713-1414, Jimenez, Noe|||0000-0002-6539-670X
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/230504
Acceso en línea:https://riunet.upv.es/handle/10251/230504
Access Level:acceso abierto
Palabra clave:Ultrasound elastography
Shear wave imaging
Directional filtering
Phase gradient
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Real-time ultrasound shear wave elastography using a local phase gradient
title Real-time ultrasound shear wave elastography using a local phase gradient
spellingShingle Real-time ultrasound shear wave elastography using a local phase gradient
González-Mateo, Enrique
Ultrasound elastography
Shear wave imaging
Directional filtering
Phase gradient
title_short Real-time ultrasound shear wave elastography using a local phase gradient
title_full Real-time ultrasound shear wave elastography using a local phase gradient
title_fullStr Real-time ultrasound shear wave elastography using a local phase gradient
title_full_unstemmed Real-time ultrasound shear wave elastography using a local phase gradient
title_sort Real-time ultrasound shear wave elastography using a local phase gradient
dc.creator.none.fl_str_mv González-Mateo, Enrique
Camarena Femenia, Francisco|||0000-0002-6713-1414
Jimenez, Noe|||0000-0002-6539-670X
author González-Mateo, Enrique
author_facet González-Mateo, Enrique
Camarena Femenia, Francisco|||0000-0002-6713-1414
Jimenez, Noe|||0000-0002-6539-670X
author_role author
author2 Camarena Femenia, Francisco|||0000-0002-6713-1414
Jimenez, Noe|||0000-0002-6539-670X
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Física Aplicada
Escuela Técnica Superior de Ingeniería Industrial
Escuela Politécnica Superior de Gandia
Instituto de Instrumentación para Imagen Molecular
Generalitat Valenciana
Agencia Estatal de Investigación
MINISTERIO DE CIENCIA E INNOVACION
• Agència Valenciana de la Innovació
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Ultrasound elastography
Shear wave imaging
Directional filtering
Phase gradient
topic Ultrasound elastography
Shear wave imaging
Directional filtering
Phase gradient
description [EN] Background and Objective: Current approaches for ultrasound spectral elastography make use of block processing, resulting in long computational times. This work describes a real-time, robust, and quantitative imaging modality to map the elastic and viscoelastic properties of soft tissues using ultrasound. Methods: This elastographic technique relies on the spectral estimation of the shear-wave phase speed by combining a local phase-gradient method and angular filtering. We first apply directional filtering in the spatio-temporal frequency domain for providing one-way, smooth, and harmonic displacement maps in the frequency range of interest. Thanks to this, we can apply a simple, fast, and local phase gradient approach to obtain the axial and lateral components of the wavevector, which are linked to phase velocity and soft-tissue elasticity and viscoelasticity. The technique is validated numerically and experimentally using a 7.6 MHz ultrasound probe, tested in calibrated soft-tissue phantoms and ex vivo liver tissues. The method is compared with state-of-the-art spectral methods. Results: The technique significantly reduces the computation time, e.g., the reconstruction time for a 155 × 315-pixel phase-velocity map was 0.16 s, while local-phase velocity-imaging techniques was 156.73 s for 2D implementation and 13.56 s for the 1D version, a reduction between two and three orders of magnitude, while showing a similar accuracy and resolution than standard methods. Conclusions: This approach eliminates the need for block processing that may limit the spatial resolution and computational time of the velocity map. In this way, the phase gradient elastography method is revealed as an efficient and robust approach for real-time spectral elastography.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-03-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/230504
url https://riunet.upv.es/handle/10251/230504
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-111436RB-C22 NEW TECHNIQUES FOR MULTIMODAL MOLECULAR ELASTOGRAPHIC IMAGING
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-142719OB-C21 LENTES HOLOGRAFICAS PARA EL TRATAMIENTO ULTRASONICO DE TRASTORNOS CEREBRALES
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023 RYC2021-034920-I Acoustic holograms and metamaterials for biomedical ultrasound applications
Agència Valenciana de la Innovació https://doi.org/10.13039/501100016028 INNVA2%2F2022%2F11 Dispositivos biomédicos de diagnóstico y terapia con tecnologías físicas avanzadas
Agència Valenciana de la Innovació https://doi.org/10.13039/501100016028 INNVA1%2F2022%2F37 Prototipo de litotricia extracorpórea por vórtices acústicos
Agència Valenciana de la Innovació https://doi.org/10.13039/501100016028 INNVA1%2F2020%2F92 Dispositivo de imagen elastográfica cuantitativa empleando vórtices acústicos
Generalitat Valenciana https://doi.org/10.13039/501100003359 IDIFEDER%2F2021%2F004 TERAPIA Y MONITORIZACIÓN NEUROLÓGICA CON TÉCNICAS FÍSICAS MÚLTIPLES
Generalitat Valenciana https://doi.org/10.13039/501100003359 CIAICO%2F2023%2F052
Generalitat Valenciana https://doi.org/10.13039/501100003359 IDIFEDER%2F2021%2F004
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica, Técnica y de Innovación CNS2023-145707
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Real-time ultrasound shear wave elastography using a local phase gradientGonzález-Mateo, EnriqueCamarena Femenia, Francisco|||0000-0002-6713-1414Jimenez, Noe|||0000-0002-6539-670XUltrasound elastographyShear wave imagingDirectional filteringPhase gradient[EN] Background and Objective: Current approaches for ultrasound spectral elastography make use of block processing, resulting in long computational times. This work describes a real-time, robust, and quantitative imaging modality to map the elastic and viscoelastic properties of soft tissues using ultrasound. Methods: This elastographic technique relies on the spectral estimation of the shear-wave phase speed by combining a local phase-gradient method and angular filtering. We first apply directional filtering in the spatio-temporal frequency domain for providing one-way, smooth, and harmonic displacement maps in the frequency range of interest. Thanks to this, we can apply a simple, fast, and local phase gradient approach to obtain the axial and lateral components of the wavevector, which are linked to phase velocity and soft-tissue elasticity and viscoelasticity. The technique is validated numerically and experimentally using a 7.6 MHz ultrasound probe, tested in calibrated soft-tissue phantoms and ex vivo liver tissues. The method is compared with state-of-the-art spectral methods. Results: The technique significantly reduces the computation time, e.g., the reconstruction time for a 155 × 315-pixel phase-velocity map was 0.16 s, while local-phase velocity-imaging techniques was 156.73 s for 2D implementation and 13.56 s for the 1D version, a reduction between two and three orders of magnitude, while showing a similar accuracy and resolution than standard methods. Conclusions: This approach eliminates the need for block processing that may limit the spatial resolution and computational time of the velocity map. In this way, the phase gradient elastography method is revealed as an efficient and robust approach for real-time spectral elastography.This research has been supported by the Ministerio de Ciencia, Innovacion y Universidades, Spain and Agencia Estatal de Investigacion, Spain grants RYC2021-034920-I, PID2022-142719OB-C21, PID2019- 111436RB-C22 and CNS2023-145707 funded by MCIN/AEI/10.13039/501100011033; Agencia Valenciana de la Innovacio, Spain grants INNVA2/2022/11, INNVA1/2022/37, INNVA1/2020/92, and Generalitat Valenciana, Spain grants CIAICO/2023/052 and IDIFEDER/2021/004.ElsevierDepartamento de Física AplicadaEscuela Técnica Superior de Ingeniería IndustrialEscuela Politécnica Superior de GandiaInstituto de Instrumentación para Imagen MolecularGeneralitat ValencianaAgencia Estatal de InvestigaciónMINISTERIO DE CIENCIA E INNOVACION• Agència Valenciana de la InnovacióRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-03-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/230504reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-111436RB-C22 NEW TECHNIQUES FOR MULTIMODAL MOLECULAR ELASTOGRAPHIC IMAGINGAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-142719OB-C21 LENTES HOLOGRAFICAS PARA EL TRATAMIENTO ULTRASONICO DE TRASTORNOS CEREBRALESAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023 RYC2021-034920-I Acoustic holograms and metamaterials for biomedical ultrasound applicationsAgència Valenciana de la Innovació https://doi.org/10.13039/501100016028 INNVA2%2F2022%2F11 Dispositivos biomédicos de diagnóstico y terapia con tecnologías físicas avanzadasAgència Valenciana de la Innovació https://doi.org/10.13039/501100016028 INNVA1%2F2022%2F37 Prototipo de litotricia extracorpórea por vórtices acústicosAgència Valenciana de la Innovació https://doi.org/10.13039/501100016028 INNVA1%2F2020%2F92 Dispositivo de imagen elastográfica cuantitativa empleando vórtices acústicosGeneralitat Valenciana https://doi.org/10.13039/501100003359 IDIFEDER%2F2021%2F004 TERAPIA Y MONITORIZACIÓN NEUROLÓGICA CON TÉCNICAS FÍSICAS MÚLTIPLESGeneralitat Valenciana https://doi.org/10.13039/501100003359 CIAICO%2F2023%2F052Generalitat Valenciana https://doi.org/10.13039/501100003359 IDIFEDER%2F2021%2F004Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica, Técnica y de Innovación CNS2023-145707open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2305042026-06-13T07:49:27Z
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