Signal averaging improves signal-to-noise in OCT images: But which approach works best, and when?
Signal averaging improves signal-to-noise in OCT images: But which approach works best, and when?
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DOI：
10.1364/boe.10.005755
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发表时间：
2019-11-01
影响因子：
3.4
通讯作者：
Hitzenberger, Christoph
中科院分区：
文献类型：
--
作者：
Baumann, Bernhard;Merkle, Conrad W.;Hitzenberger, Christoph
最先进的光学相干断层扫描（OCT）的高采集速度能够通过信号平均来实现大规模的信噪比（SNR）改善。在这里，我们研究了两种常用的OCT信号平均方法的性能。我们提出的理论SNR性能（a）计算OCT幅度数据的平均值和（B）平均的复杂相量，并证实我们的研究结果与模拟和实验获得的OCT数据。我们表明，所实现的SNR性能强烈地依赖于输入信号的SNR和平均信号的数量时，由噪声本底引起的信号偏差不占。因此，我们还探讨了两种平均方法的SNR校正后的噪声偏置，并提供了相量的相位准确对齐之前平均，然后发现，复杂的相量平均总是导致更高的SNR比幅度平均。由The Optical Society根据Creative Commons Attribution 4.0 License条款发布。
The high acquisition speed of state-of-the-art optical coherence tomography (OCT) enables massive signal-to-noise ratio (SNR) improvements by signal averaging. Here, we investigate the performance of two commonly used approaches for OCT signal averaging. We present the theoretical SNR performance of (a) computing the average of OCT magnitude data and (b) averaging the complex phasors, and substantiate our findings with simulations and experimentally acquired OCT data. We show that the achieved SNR performance strongly depends on both the SNR of the input signals and the number of averaged signals when the signal bias caused by the noise floor is not accounted for. Therefore we also explore the SNR for the two averaging approaches after correcting for the noise bias and, provided that the phases of the phasors are accurately aligned prior to averaging, then find that complex phasor averaging always leads to higher SNR than magnitude averaging. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License.