Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography

Abstract

We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly undersampling the k-space SD OCT signal. We achieved this by applying pseudo-random masks to sample 62.5%, 50%, and 37.5% of the CCD camera pixels. OCT images are reconstructed by solving an optimization problem that minimizes the l 1 norm of a transformed image to enforce sparsity, subject to data consistency constraints. CS could allow an array detector with fewer pixels to reconstruct high resolution OCT images while reducing the total amount of data required to process the images.

Data compressed photonic time-stretch optical coherence tomography

“…Compressive sensing spectral domain OCT has been previously reported [5]. This paper reports the first demonstration of compressive sensing real-time PTS-OCT system.…”

Improved wavelet hierarchical threshold filter method for optical coherence tomography image de-noising

“…But these methods would increase system complexity, meanwhile decrease imaging speed and spatial resolution. 12,16 Software approaches based on post-processing¯ltering techniques, including adaptive Wiener¯ltering, 6 curvelet domain¯ltering, 19,20 contourlet domain¯ltering, 21 Csiszars I-divergence regularization, 22 interval type II fuzzy system, 23,24 regularized image restoration based on speckle characteristics, 25 compressed sensing (CS) reconstruction, [26][27][28] sparse reconstruction, [29][30][31][32] and wavelet domain¯ltering [33][34][35][36][37] can reduce speckle noise by¯l-tering in di®erent transform domain. Wavelet domain¯ltering is widely accepted as a promising method in de-noising for OCT images.…”

Photonic compressive sensing enabled data efficient time stretch optical coherence tomography

“…Photonic compressive sensing 9 have wide spread applications in single-pixel optical imaging 10 , gas sensing 11 , and blind spectrum sensing 12,13 . There has been a demonstration of compressive sensing to study the effectiveness in optical coherence tomography system by direct sampling the OCT data with SD-OCT method followed by digital compressive sensing approach 14 . In this work, we reported and experimentally demonstrated data efficient PTS-OCT system based on photonic compressive sensing achieving 66% compression ratio with A-scan rate of 1.51MHz for a single layer measurement 15,16 .…”