Prof. Sybille Facca Profile

Prof. Sybille Facca

at Univ de Strasbourg

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Author

Publications (6)

Proceedings Article | 13 March 2024 Presentation

Shear wave elastography with single-shot off-axis FF-OCT (SO-FF-OCT) approach

Emmanuel Martins Seromenho, Nina Dufour, Maud Legrand, Jesse Schiffler, Sybille Facca, Nadia Bahlouli, Amir Nahas

Proceedings Volume PC12844, PC128440S (2024) https://doi.org/10.1117/12.3002947

KEYWORDS: Elastography, Optical coherence tomography, Biomedical applications, Biological imaging, Wave propagation, Ultrasonography, Tissues, Scattering, Reflection, Phase distribution

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Proceedings Article | 13 March 2024 Presentation

Single-shot off-axis FF-OCT (SO-FF-OCT) imaging: in-vivo optical tomography and Doppler imaging

Emmanuel Martins Seromenho, Nina Dufour, Jesse Schiffler, Vincent Maioli, Sybille Facca, Nadia Bahlouli, Amir Nahas

Proceedings Volume PC12830, PC1283021 (2024) https://doi.org/10.1117/12.3002928

KEYWORDS: In vivo imaging, Biological imaging, Doppler tomography, Biomedical optics, Optical imaging, Optical tomography, Biological samples, Tissues, Scattering, Phase shifts

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Proceedings Article | 9 March 2023 Presentation

In-vivo multimodal single-shot off-axis FF-OCT (SO-FF-OCT) imaging: optical tomography and shear wave elastography

Emmanuel Martins Seromenho, Agathe Marmin, Sybille Facca, Nadia Bahlouli, Amir Nahas

Proceedings Volume PC12367, PC1236718 (2023) https://doi.org/10.1117/12.2652601

KEYWORDS: Elastography, In vivo imaging, Optical tomography, Optical imaging, Tissues, Phase shifts, Optical coherence tomography, Biomedical optics, Ultrasonography, Tomography

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Proceedings Article | 3 December 2021 Paper

Digital holography-based quantitative elastography using noise-correlation

Agathe Marmin, Simon Chatelin, Manuel Flury, Sybille Facca, Stefan Catheline, Amir Nahas

Proceedings Volume 11921, 1192108 (2021) https://doi.org/10.1117/12.2615455

KEYWORDS: Digital holography, Elastography, Tissues, Point spread functions, Optical coherence tomography, Holography, Polymers, Anisotropy, Actuators, Tissue optics

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SPIE Journal Paper | 19 August 2021 Open Access

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

Agathe Marmin, Gabrielle Laloy-Borgna, Sybille Facca, Sylvain Gioux, Stefan Catheline, Amir Nahas

JBO, Vol. 26, Issue 08, 086006, (August 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.8.086006

KEYWORDS: Elastography, Wave propagation, Tissues, Digital holography, Algorithm development, Video, Computer simulations, Speckle, Signal to noise ratio, Correlation function

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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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Proceedings Article | 5 March 2021 Presentation

Quantitative full-field transient elastography based on digital holography

Agathe Marmin, Gabrielle Laloy-Borgna, Sybille Facca, Sylvain Gioux, Stefan Catheline, Amir Nahas

Proceedings Volume 11645, 116450A (2021) https://doi.org/10.1117/12.2578581

KEYWORDS: Elastography, Digital holography, Wave propagation, Ultrasonography, Tissues, Optical coherence tomography, Natural surfaces, Mach-Zehnder interferometers, Cameras

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