Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography

TL;DR

This paper introduces a novel speckle-based algorithm for estimating internal displacement fields from OCT images, improving quantitative elastography by accurately capturing tissue deformation.

Contribution

The paper proposes a new speckle-informed method for displacement estimation in OCT images, enhancing motion accuracy for elastography applications.

Findings

Effective displacement estimation on simulated data

Successful application to experimental OCT data

Improved material parameter estimation in elastography

Abstract

In this paper, we consider the problem of estimating the internal displacement field of an object which is being subjected to a deformation, from Optical Coherence Tomography (OCT) images before and after compression. For the estimation of the internal displacement field we propose a novel algorithm, which utilizes particular speckle information to enhance the quality of the motion estimation. We present numerical results based on both simulated and experimental data in order to demonstrate the usefulness of our approach, in particular when applied for quantitative elastography, when the material parameters are estimated in a second step based on the internal displacement field.