Numerical Optimization of Sensitivity in Fourier Domain Optical Coherence Tomography

被引：0
|
作者：
Shen Jiawei [1 ]
Sun Na [2 ]
Xing Fangjian [1 ]
Guo Zixian [1 ]
Shi Junpeng [1 ]
机构：
[1] School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University
[2] School of Physics and Technology, Nanjing Normal
来源：
激光与光电子学进展 | 2022年 / 59卷 / 18期
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D O I：
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中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
The details of cross-sectional images based on Fourier domain optical coherence tomography play an important role that is limited to nonuniform sampling, spectral dispersion, inverse discrete Fourier transform(IDFT), and noise. In this section, we propose a method for emphasizing axial details to the greatest extent possible. After removing spectral dispersion, uniform discretization in the wavenumber domain is performed based on two interferograms via a specified offset in depth, with no spectrum calibration. The sampling number in IDFT is optimized to improve axial sensitivity up to1. 62 dB. The proposed process has the advantage of being based on numerical computation rather than hardware calibration, which benefits cost, accuracy, and efficiency.
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页码：497 / 502
页数：6
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