Mathematical modeling in full-field optical coherence elastography

TL;DR

This paper introduces a mathematical and numerical framework for full-field optical coherence elastography, enabling high-resolution, real-time, non-invasive imaging and quantitative tissue characterization.

Contribution

It presents a novel algorithm for converting volumetric optical images into shear modulus maps, enhancing biological and clinical imaging capabilities.

Findings

Developed a new algorithm for elastography imaging.

Achieved sub-cellular resolution in shear modulus mapping.

Potential to improve sensitivity and specificity in clinical diagnostics.

Abstract

We provide a mathematical analysis of and a numerical framework for full-field optical coherence elastography, which has unique features including micron-scale resolution, real-time processing, and non-invasive imaging. We develop a novel algorithm for transforming volumetric optical images before and after the mechanical solicitation of a sample with sub-cellular resolution into quantitative shear modulus distributions. This has the potential to improve sensitivities and specificities in the biological and clinical applications of optical coherence tomography.