Presentation
19 June 2024 Single-shot off-axis full-field optical coherence tomography (SO-FF-OCT) method for in-vivo tomographic imaging and shear wave elastography
Emmanuel Martins Seromenho, Nina Dufour, Maud Legrand, Jesse Schiffler, Vincent Maioli, Sybille Facca, Nadia Bahlouli, Amir Nahas
Author Affiliations +
Abstract
Over the past few decades, a multitude of optical imaging techniques have emerged. Among them, full-field optical coherence tomography (FF-OCT) has gained significant importance in various biomedical applications. Indeed, FF-OCT stands out as a noninvasive and label-free imaging method capable of generating high-resolution 3D microscopic images of light-scattering biological specimens. However, FF-OCT approach is limited for in-vivo imaging and images from FF-OCT lack the specificity required for accurate diagnosis. Hence, there is a need to have access to in-vivo imaging and to incorporate additional contrast modalities, such as elastography, into the FF-OCT technique. Indeed, the combination of FF-OCT with shear wave elastography enables the quantitative assessment of tissue stiffness at a resolution of a few micrometers. In this context, we present a novel FF-OCT approach that enables single-shot acquisitions, making it well-suited for both in-vivo imaging and transient shear wave elastography.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emmanuel Martins Seromenho, Nina Dufour, Maud Legrand, Jesse Schiffler, Vincent Maioli, Sybille Facca, Nadia Bahlouli, and Amir Nahas "Single-shot off-axis full-field optical coherence tomography (SO-FF-OCT) method for in-vivo tomographic imaging and shear wave elastography", Proc. SPIE PC13010, Tissue Optics and Photonics III, PC130100E (19 June 2024); https://doi.org/10.1117/12.3013068
Advertisement
Advertisement
KEYWORDS
Elastography

In vivo imaging

Biological imaging

Optical coherence tomography

Biomedical optics

Tomography

Biological samples

Back to Top