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

被引：79

作者：

Liu, Xuan ^{[1
]}

Kang, Jin U. ^{[1
]}

机构：

[1] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA

来源：

OPTICS EXPRESS | 2010年 / 18卷 / 21期

关键词：

FOURIER; CAMERA; SYSTEM; SHRINKAGE;

D O I：

10.1364/OE.18.022010

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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. (C) 2010 Optical Society of America

引用

页码：22010 / 22019

页数：10

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