Optimal sparsifying bases for frequency-domain optical-coherence tomography

被引：5

作者：

Nayak, Rohit ^{[1
,2
]}

Seelamantula, Chandra Sekhar ^{[1
]}

机构：

[1] Indian Inst Sci, Dept Elect Engn, Bangalore 560012, Karnataka, India

[2] Univ Rochester, Dept Elect & Comp Engn, Parametr Imaging Res Lab, Rochester, NY 14627 USA

来源：

OPTICS LETTERS | 2012年 / 37卷 / 23期

关键词：

Locks (fasteners) - Optical tomography - Cosine transforms;

D O I：

10.1364/OL.37.004907

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We address the reconstruction problem in frequency-domain optical-coherence tomography (FDOCT) from under-sampled measurements within the framework of compressed sensing (CS). Specifically, we propose optimal sparsifying bases for accurate reconstruction by analyzing the backscattered signal model. Although one might expect Fourier bases to be optimal for the FDOCT reconstruction problem, it turns out that the optimal sparsifying bases are windowed cosine functions where the window is the magnitude spectrum of the laser source. Further, the windowed cosine bases can be phase locked, which allows one to obtain higher accuracy in reconstruction. We present experimental validations on real data. The findings reported in this Letter are useful for optimal dictionary design within the framework of CS-FDOCT. (C) 2012 Optical Society of America

引用

页码：4907 / 4909

页数：3