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The assessment of tissue composition using photoacoustic imaging (PAI) is a promising approach. However, the signal-to-noise ratio in PAI systems are quite low in comparison to ultrasound imaging’s especially at few centimeters depth. Multi-perspective photoacoustic imaging (MP-PAI) using multiple capacitive micromachined ultrasound transducers (CMUTs) on a flexible substrate provide a cost-efficient way to improve field of view (FOV), resolution, and angular coverage. In this work, an encoding scheme based on Hadamard codes is proposed to improve the SNR in MP-PAI. The concept is validated in an experiment using a carotid plaque tissue sample demonstrating the increase in SNR imaging with three CMUTs.
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Amir Gholampour, Hans-Martin Schwab, Min Wu, Marc van Sambeek, Richard Lopata, "Multi-aperture encoding scheme using CMUTs for increased SNR in photoacoustic imaging," Proc. SPIE PC11960, Photons Plus Ultrasound: Imaging and Sensing 2022, PC119602S (7 March 2022); https://doi.org/10.1117/12.2609986