Towards improved imaging contrast with photoacoustic remote sensing through intelligent signal extraction

Nicholas Pellegrino; Kevan L. Bell; Benjamin Ecclestone; Faraz Ali; Auguste L. W. Koh; Yan Yan Tran; Shahid A. Haider; Paul W. Fieguth; Parsin Haji Reza

doi:10.1117/12.2577794

5 March 2021 Towards improved imaging contrast with photoacoustic remote sensing through intelligent signal extraction

Nicholas Pellegrino, Kevan L. Bell, Benjamin Ecclestone, Faraz Ali, Auguste L. W. Koh, Yan Yan Tran, Shahid A. Haider, Paul W. Fieguth, Parsin Haji Reza

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Proceedings Volume 11642, Photons Plus Ultrasound: Imaging and Sensing 2021; 116421B (2021) https://doi.org/10.1117/12.2577794
Event: SPIE BiOS, 2021, Online Only

Abstract

Photoacoustic Remote Sensing (PARS™), an all-optical, non-contact, reflection-mode, label-free biomedical imaging modality, is sensitive to optical absorption in biological tissues. Images are formed by scanning across tissue, collecting time-domain signals at each point which represent the initial pressures generated through induced thermoelastic expansion. Previously, when obtaining pixel intensity, the rich temporal and spectral content of the time-domain signals has largely been ignored. In this exploratory work, meaningful features are intelligently extracted from the time-domain signals. Based on these extracted features, attributes relevant to pixel intensity can be used to form images of improved contrast and greater detail.

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Nicholas Pellegrino, Kevan L. Bell, Benjamin Ecclestone, Faraz Ali, Auguste L. W. Koh, Yan Yan Tran, Shahid A. Haider, Paul W. Fieguth, and Parsin Haji Reza "Towards improved imaging contrast with photoacoustic remote sensing through intelligent signal extraction", Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116421B (5 March 2021); https://doi.org/10.1117/12.2577794

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KEYWORDS

Signals intelligence

Photoacoustic spectroscopy

Remote sensing

Photoacoustic imaging

Biomedical optics

Modulation

Signal to noise ratio

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