光声信号增强：实现低能量激光二极管在实时光声成像中的应用。
Photoacoustic Signal Enhancement: Towards Utilization of Low Energy Laser Diodes in Real-Time Photoacoustic Imaging.
机构信息
Department of Biomedical Engineering, Wayne State University, 818 W. Hancock, Detroit, MI 48201, USA.
Department of Electrical Engineering, Sharif University of Technology, Tehran 11365-11155, Iran.
出版信息
Sensors (Basel). 2018 Oct 17;18(10):3498. doi: 10.3390/s18103498.
In practice, photoacoustic (PA) waves generated with cost-effective and low-energy laser diodes, are weak and almost buried in noise. Reconstruction of an artifact-free PA image from noisy measurements requires an effective denoising technique. Averaging is widely used to increase the signal-to-noise ratio (SNR) of PA signals; however, it is time consuming and in the case of very low SNR signals, hundreds to thousands of data acquisition epochs are needed. In this study, we explored the feasibility of using an adaptive and time-efficient filtering method to improve the SNR of PA signals. Our results show that the proposed method increases the SNR of PA signals more efficiently and with much fewer acquisitions, compared to common averaging techniques. Consequently, PA imaging is conducted considerably faster.
实际上，使用成本效益高且能量低的激光二极管产生的光声（PA）波很微弱，几乎被噪声淹没。要从噪声测量中重建无伪影的 PA 图像，需要有效的去噪技术。平均法广泛用于提高 PA 信号的信噪比（SNR）；然而，它既耗时又费时间，如果 SNR 非常低的信号，则需要数百到数千个数据采集周期。在这项研究中，我们探讨了使用自适应和高效的滤波方法来提高 PA 信号 SNR 的可行性。我们的结果表明，与常见的平均技术相比，所提出的方法可以更有效地提高 PA 信号的 SNR，并且采集次数更少。因此，PA 成像的速度大大提高。
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