Signal and Image Processing in Biomedical Photoacoustic Imaging: A Review

Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI works on the principle of electromagnetic energy absorption by the exogenous contrast agents and/or endogenous molecules present in the biological tissue, consequently generating ultrasound waves. PAI combin...

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Published in:Optics 2021-03, Vol.2 (1), p.1-24
Main Authors: Manwar, Rayyan, Zafar, Mohsin, Xu, Qiuyun
Format: Article
Language:English
Subjects:
Acoustics
Algorithms
Deep learning
Energy
Lasers
Morphology
Noise
Optical properties
Pressure distribution
Signal processing
Tissues
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description Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI works on the principle of electromagnetic energy absorption by the exogenous contrast agents and/or endogenous molecules present in the biological tissue, consequently generating ultrasound waves. PAI combines a high optical contrast with a high acoustic spatiotemporal resolution, allowing the non-invasive visualization of absorbers in deep structures. However, due to the optical diffusion and ultrasound attenuation in heterogeneous turbid biological tissue, the quality of the PA images deteriorates. Therefore, signal and image-processing techniques are imperative in PAI to provide high-quality images with detailed structural and functional information in deep tissues. Here, we review various signal and image processing techniques that have been developed/implemented in PAI. Our goal is to highlight the importance of image computing in photoacoustic imaging.
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subjects Acoustics
Algorithms
Deep learning
Energy
Lasers
Morphology
Noise
Optical properties
Pressure distribution
Signal processing
Tissues
title Signal and Image Processing in Biomedical Photoacoustic Imaging: A Review
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