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Automated noise estimation in polarization-sensitive optical coherence tomography

被引：5
|
作者：
Keahey, P. A. [1 ,2 ]
Bouma, B. E. [1 ,2 ,3 ]
Villiger, M. [1 ,2 ]
机构：
[1] Massachusetts Gen Hosp, Wellman Ctr Photomed, 50 Blossom St, Boston, MA 02114 USA
[2] Harvard Med Sch, 25 Shattuck St, Boston, MA 02115 USA
[3] MIT, Inst Med Engn & Sci, 77 Massachusetts Ave, Cambridge, MA 02139 USA
来源：
OPTICS LETTERS | 2020年 / 45卷 / 10期
关键词：
UNIFORMITY;
D O I：
10.1364/OL.390334
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Advanced signal reconstruction in polarization-sensitive optical coherence tomography (OCT) frequently relies on an accurate determination of the signal noise floor. However, current methods for evaluating the noise floor are often impractical and subjective. Here we present a method using the degree of polarization uniformity and known speckle intensity statistics to model and estimate the OCT noise floor automatically. We establish the working principle of our method with a series of phantom experiments and demonstrate the robustness of our noise estimation method across different imaging systems and applications in vivo. (C) 2020 Optical Society of America
引用
收藏
页码：2748 / 2751
页数：4
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