Abstract

We present a theoretical framework for strain estimation in optical coherence elastography (OCE), based on a statistical analysis of displacement measurements obtained from a mechanically loaded sample. We define strain sensitivity, signal-to-noise ratio and dynamic range, and derive estimates of strain using three methods: finite difference, ordinary least squares and weighted least squares, the latter implemented for the first time in OCE. We compare theoretical predictions with experimental results and demonstrate a ~12 dB improvement in strain sensitivity using weighted least squares compared to finite difference strain estimation and a ~4 dB improvement over ordinary least squares strain estimation. We present strain images (i.e., elastograms) of tissue-mimicking phantoms and excised porcine airway, demonstrating in each case clear contrast based on the sample’s elasticity.

Highlights

  • Disease often causes alteration of the elastic properties of tissue [1,2]

  • A strain estimation method based on weighted least squares (WLS) has been proposed in ultrasound elastography [27], we report its first use in optical coherence elastography (OCE)

  • The measured parameters were calculated from experimental data for finite difference (FD), ordinary least squares (OLS), WLS and Gaussian smoothed weighted least squares (GS-WLS, black dots) strain estimation methods

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Summary

Introduction

The emerging technique of optical coherence elastography (OCE) is aimed at differentiating tissues by imaging their microscopic elastic properties [3,4,5,6]. In OCE, a tissue sample is subjected to a load (stress) and the resulting local displacement is measured using optical coherence tomography (OCT) [7]. The spatial derivative of the displacement is the strain [1,2], which is indicative of the sample’s elastic properties. The strain is displayed in a two- or threedimensional image, known as an elastogram [2]. The limits on resolution and penetration depth of displacement measurements in OCE are set by OCT, the underlying imaging modality and, lie in the range 1-20 μm and 1-3 mm, respectively

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