Efficient image compression for high-throughput photoacoustic microscopy systems

Mohsin Zafar; Rayyan Manwar; Mohammad Reza Nasiri Avanaki

doi:10.1117/12.2581240

15 March 2021 Efficient image compression for high-throughput photoacoustic microscopy systems

Mohsin Zafar, Rayyan Manwar, Mohammad Reza Nasiri Avanaki

Author Affiliations +

Proceedings Volume 11642, Photons Plus Ultrasound: Imaging and Sensing 2021; 1164246 (2021) https://doi.org/10.1117/12.2581240
Event: SPIE BiOS, 2021, Online Only

Conference Poster

Abstract

Photoacoustic microscopy (PAM) has demonstrated a wide range of medical and biomedical applications by providing vascular information. Since the size of PAM images is usually extremely large, an efficient compression method can help in the storage and transportation of these images. We have implemented multiple signal compression methods in LabVIEW with a high compression ratio, and an execution time below the repetition rate of the pulsed laser. The qualitative and quantitative results of ex vivo vasculature imaging with and without compression showed nearidentical images with significantly smaller size.

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Mohsin Zafar, Rayyan Manwar, and Mohammad Reza Nasiri Avanaki "Efficient image compression for high-throughput photoacoustic microscopy systems", Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 1164246 (15 March 2021); https://doi.org/10.1117/12.2581240

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