performance compared to the other existing methods, like butterworth
filter, sqtwolog threshold denoising, and so on, with 20%-40%
improvement. What’s more, our proposed method is significantly effective
in processing the two-layers structure, which exhibits different PA
signal’s frequency band. In such situation, our proposed method performs
better than the existing de-noising methods. By employing the proposed
fast and high-performance de-noising algorithm, it enables the using of
a lower power laser to achieve the same SNR, which will decrease the
cost of a PA imaging system.
ACKNOWLEDGMENTS
This research was funded by National Natural Science Foundation of China
(61805139), United Imaging Intelligence (2019X0203-501-02), Shanghai
Clinical Research and Trial Center (2022A0305-418-02),and Double
First-Class Initiative Fund of ShanghaiTech University
(2022X0203-904-04).
AUTHOR CONTRIBUTION
X.L. was involved in conceptualization, investigation, writing. P.G.,
Y.S., F.G. was involved in data acquisition and discussion. F.G. was
involved in project management and supervision.
CONFLICT OF INTEREST
The authors declare no financial or commercial conflict of interest.
DATA AVAILABILITY STATEMENT
Research data are not shared.
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