Spatiotemporal SVD for denoising in LED-based photoacoustic imaging

Mengjie Shi; Tom Vercauteren; Wenfeng Xia

doi:10.1117/12.2648825

27 March 2023 Spatiotemporal SVD for denoising in LED-based photoacoustic imaging

Mengjie Shi, Tom Vercauteren, Wenfeng Xia

Author Affiliations +

Proceedings Volume PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023; PC123792O (2023) https://doi.org/10.1117/12.2648825
Event: SPIE BiOS, 2023, San Francisco, California, United States

Conference Poster

Abstract

Photoacoustic (PA) imaging has demonstrated tremendous potential for various clinical and pre-clinical applications in the past two decades. Laser diodes and light-emitting diodes can be used as substitutes for solid-state lasers with the benefits of low cost and compact size. However, PA signals generated by such light sources have relatively low signal-to-noise ratios due to the low output energy. Here, we proposed a spatiotemporal singular value decomposition denoising method for PA radiofrequency data acquired at high frame rates. Within silico and in vivo experiments, it outperformed frame averaging and could be used for real-time in vivo applications.

Citation Download Citation

Mengjie Shi, Tom Vercauteren, and Wenfeng Xia "Spatiotemporal SVD for denoising in LED-based photoacoustic imaging", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123792O (27 March 2023); https://doi.org/10.1117/12.2648825

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