Poster + Paper
9 March 2023 Noise reduction in LED light source-based photoacoustic imaging using M-sequences coding
Author Affiliations +
Conference Poster
Abstract
Photoacoustic imaging is a new imaging technique that can measure optical absorbers with high resolution. Lasers are commonly used as light sources for photoacoustic imaging, but there are many safety restrictions. Therefore, devices in which the light source is replaced by LEDs, which have fewer safety restrictions, are attracting attention. However, LED light sources have very low energy, and the photoacoustic signal generated is correspondingly small. Therefore, the photoacoustic signal is buried in noise, resulting in a low signal-to-noise ratio (SNR). Averaging can also improve SNR, but it is difficult to maintain a high frame rate. M-sequence signal processing can improve SNR while maintaining a high repetition rate, and its effectiveness has been demonstrated in photoacoustic measurements of laser light sources. However, LED power supplies have time delays in emission and circuit jitter, which affect decoding. Therefore, we propose a new decoding algorithm that compensates for LED jitter. We then experimentally verified the SNR improvement using this signal processing in practice.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Keisuke Fukuda, Kazuma Hashimoto, Uma Maheswari Rajagopalan, Takahiro Kono, and Jun Yamada "Noise reduction in LED light source-based photoacoustic imaging using M-sequences coding", Proc. SPIE 12379, Photons Plus Ultrasound: Imaging and Sensing 2023, 123791J (9 March 2023); https://doi.org/10.1117/12.2649032
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KEYWORDS
Light emitting diodes

Signal to noise ratio

Photoacoustic spectroscopy

Photoacoustic imaging

Pulse signals

Laser systems engineering

Signal processing

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