Volumetric (3D) compressive sensing spectral domain optical coherence tomography

被引:18
作者
Xu, Daguang [1 ]
Huang, Yong [1 ]
Kang, Jin U. [1 ]
机构
[1] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
来源
BIOMEDICAL OPTICS EXPRESS | 2014年 / 5卷 / 11期
关键词
OCT; RECONSTRUCTION; IMAGES;
D O I
10.1364/BOE.5.003921
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In this work, we proposed a novel three-dimensional compressive sensing (CS) approach for spectral domain optical coherence tomography (SD OCT) volumetric image acquisition and reconstruction. Instead of taking a spectral volume whose size is the same as that of the volumetric image, our method uses a sub set of the original spectral volume that is under-sampled in all three dimensions, which reduces the amount of spectral measurements to less than 20% of that required by the Shannon/Nyquist theory. The 3D image is recovered from the under-sampled spectral data dimension-by-dimension using the proposed three-step CS reconstruction strategy. Experimental results show that our method can significantly reduce the sampling rate required for a volumetric SD OCT image while preserving the image quality. (C) 2014 Optical Society of America
引用
收藏
页码:3921 / 3934
页数:14
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