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Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography

Significance: Quantitative stiffness information can be a powerful aid for tumor or fibrosis diagnosis. Currently, very promising elastography approaches developed for non-contact biomedical imaging are based on transient shear-waves imaging. Transient elastography offers quantitative stiffness info...

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Autores principales: Marmin, Agathe, Laloy-Borgna, Gabrielle, Facca, Sybille, Gioux, Sylvain, Catheline, Stefan, Nahas, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374320/
https://www.ncbi.nlm.nih.gov/pubmed/34414704
http://dx.doi.org/10.1117/1.JBO.26.8.086006
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author Marmin, Agathe
Laloy-Borgna, Gabrielle
Facca, Sybille
Gioux, Sylvain
Catheline, Stefan
Nahas, Amir
author_facet Marmin, Agathe
Laloy-Borgna, Gabrielle
Facca, Sybille
Gioux, Sylvain
Catheline, Stefan
Nahas, Amir
author_sort Marmin, Agathe
collection PubMed
description Significance: Quantitative stiffness information can be a powerful aid for tumor or fibrosis diagnosis. Currently, very promising elastography approaches developed for non-contact biomedical imaging are based on transient shear-waves imaging. Transient elastography offers quantitative stiffness information by tracking the propagation of a wave front. The most common method used to compute stiffness from the acquired propagation movie is based on shear-wave time-of-flight calculations. Aim: We introduce an approach to transient shear-wave elastography with spatially coherent sources, able to yield full-field quantitative stiffness maps with reduced artifacts compared to typical artifacts observed in time-of-flight. Approach: A noise-correlation algorithm developed for passive elastography is adapted to spatially coherent narrow or any band sources. This noise-correlation-inspired (NCi) method is employed in parallel with a classic time-of-flight approach. Testing is done on simulation images, experimental validation is conducted with a digital holography setup on controlled homogeneous samples, and full-field quantitative stiffness maps are presented for heterogeneous samples and ex-vivo biological tissues. Results: The NCi approach is first validated on simulations images. Stiffness images processed by the NCi approach on simulated inclusions display significantly less artifacts than with a time-of-flight reconstruction. The adaptability of the NCi algorithm to narrow or any band shear-wave sources was tested successfully. Experimental testing on homogeneous samples demonstrates similar values for both the time-of-flight and the NCi approach. Soft inclusions in agarose sample could be resolved using the NCi method and feasibility on ex-vivo biological tissues is presented. Conclusions: The presented NCi approach was successful in computing quantitative full-field stiffness maps with narrow and broadband source signals on simulation and experimental images from a digital holography setup. Results in heterogeneous media show that the NCi approach could provide stiffness maps with less artifacts than with time-of-flight, demonstrating that a NCi algorithm is a promising approach for shear-wave transient elastography with spatially coherent sources.
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spelling pubmed-83743202021-08-20 Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography Marmin, Agathe Laloy-Borgna, Gabrielle Facca, Sybille Gioux, Sylvain Catheline, Stefan Nahas, Amir J Biomed Opt Imaging Significance: Quantitative stiffness information can be a powerful aid for tumor or fibrosis diagnosis. Currently, very promising elastography approaches developed for non-contact biomedical imaging are based on transient shear-waves imaging. Transient elastography offers quantitative stiffness information by tracking the propagation of a wave front. The most common method used to compute stiffness from the acquired propagation movie is based on shear-wave time-of-flight calculations. Aim: We introduce an approach to transient shear-wave elastography with spatially coherent sources, able to yield full-field quantitative stiffness maps with reduced artifacts compared to typical artifacts observed in time-of-flight. Approach: A noise-correlation algorithm developed for passive elastography is adapted to spatially coherent narrow or any band sources. This noise-correlation-inspired (NCi) method is employed in parallel with a classic time-of-flight approach. Testing is done on simulation images, experimental validation is conducted with a digital holography setup on controlled homogeneous samples, and full-field quantitative stiffness maps are presented for heterogeneous samples and ex-vivo biological tissues. Results: The NCi approach is first validated on simulations images. Stiffness images processed by the NCi approach on simulated inclusions display significantly less artifacts than with a time-of-flight reconstruction. The adaptability of the NCi algorithm to narrow or any band shear-wave sources was tested successfully. Experimental testing on homogeneous samples demonstrates similar values for both the time-of-flight and the NCi approach. Soft inclusions in agarose sample could be resolved using the NCi method and feasibility on ex-vivo biological tissues is presented. Conclusions: The presented NCi approach was successful in computing quantitative full-field stiffness maps with narrow and broadband source signals on simulation and experimental images from a digital holography setup. Results in heterogeneous media show that the NCi approach could provide stiffness maps with less artifacts than with time-of-flight, demonstrating that a NCi algorithm is a promising approach for shear-wave transient elastography with spatially coherent sources. Society of Photo-Optical Instrumentation Engineers 2021-08-19 2021-08 /pmc/articles/PMC8374320/ /pubmed/34414704 http://dx.doi.org/10.1117/1.JBO.26.8.086006 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Imaging
Marmin, Agathe
Laloy-Borgna, Gabrielle
Facca, Sybille
Gioux, Sylvain
Catheline, Stefan
Nahas, Amir
Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography
title Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography
title_full Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography
title_fullStr Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography
title_full_unstemmed Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography
title_short Time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography
title_sort time-of-flight and noise-correlation-inspired algorithms for full-field shear-wave elastography using digital holography
topic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374320/
https://www.ncbi.nlm.nih.gov/pubmed/34414704
http://dx.doi.org/10.1117/1.JBO.26.8.086006
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