Combination of 2D Compressive Sensing Spectral Domain Optical Coherence Tomography and Interferometric Synthetic Aperture Microscopy

Luying Yi,Bo Hou,Liqun Sun,Xiangyu Guo

doi:10.3390/app9194003

Luying Yi, Bo Hou + Show 2 more

Open Access

https://doi.org/10.3390/app9194003

Copy DOI

Journal: Applied Sciences	Publication Date: Sep 25, 2019
Citations: 1	License type: CC BY 4.0

Affiliation: Tsinghua University

Abstract

Combining the advantages of compressive sensing spectral domain optical coherence tomography (CS-SDOCT) and interferometric synthetic aperture microscopy (ISAM) in terms of data volume, imaging speed, and lateral resolution, we demonstrated how compressive sampling and ISAM can be simultaneously used to reconstruct an optical coherence tomography (OCT) image. Specifically, an OCT image is reconstructed from two-dimensional (2D) under-sampled spectral data dimension-by-dimension through a CS reconstruction algorithm. During the iterative process of CS algorithm, the deterioration of lateral resolution beyond the depth of focus (DOF) of a Gaussian beam is corrected. In the end, with less spectral data, we can obtain an OCT image with spatially invariant lateral resolution throughout the imaging depth. This method was verified in this paper by imaging the cells of an orange. A 0.7 × 1.5 mm image of an orange was reconstructed using only 50% × 50% spectral data, in which the dispersion of the structure was decreased by approximately 2.4 times at a depth of approximately 5.7 Rayleigh ranges above the focus. This result was consistent with that obtained with 100% data.

Highlights

Spectral domain optical coherence tomography (SD-OCT) is a powerful and efficient imaging modality for the diagnosis and treatment of diseases in a variety of tissues, especially the skin and eyes [1,2,3,4]
In order to clarify the performance of the method combining 2D compressive sensing (CS)-SDOCT with
CS-SDOCTtechnology, technology,the thecorrection correctionofoflateral lateralresolution resolutionusing using was added in this work

Summary

Introduction

Spectral domain optical coherence tomography (SD-OCT) is a powerful and efficient imaging modality for the diagnosis and treatment of diseases in a variety of tissues, especially the skin and eyes [1,2,3,4]. In SD-OCT, imaging speed and lateral resolution are significant imaging performance indicators. The imaging speed depends mainly on the scanning speed of sample arm and the acquisition time of the spectrometer, and the lateral resolution is determined by the size of the focal spot of the light beam incident on the sample. Compressive sensing SD-OCT (CS-SDOCT) has emerged as an increasingly popular research topic with a view to reducing the imaging time and data volume [5,6,7,8,9]. In our previous works and most other studies on CS-SDOCT, the image is reconstructed using a fraction of the wavenumber k domain.

Methods

Results

Conclusion