Signal and Image Processing Techniques as Applied to Animal Bioacoustics Problems

2011 ◽  
Vol 7 (3) ◽  
pp. 35 ◽  
Author(s):  
Chris O. Tiemann ◽  
Jules S. Jaffe ◽  
Paul L. D. Roberts ◽  
Natalia A. Sidorovskaia ◽  
George E. Ioup ◽  
...  
Keyword(s):  
Image Processing ◽  
Signal And Image Processing ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Signal and Image Processing in Biomedical Photoacoustic Imaging: A Review

Optics ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 1-24
Author(s):  
Rayyan Manwar ◽  
Mohsin Zafar ◽  
Qiuyun Xu
Keyword(s):  
Image Processing ◽  
Biological Tissue ◽  
Photoacoustic Imaging ◽  
Imaging Modality ◽  
Spatiotemporal Resolution ◽  
Signal And Image Processing ◽  
Ultrasound Waves ◽  
Image Processing Techniques ◽  
Non Invasive ◽  
Processing Techniques

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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