Virtual labelling in photoacoustic remote sensing microscopy through time-domain feature extraction

Marian Boktor; Nicholas Pellegrino; Benjamin R. Ecclestone; Paul Fieguth; Parsin Haji Reza

doi:10.1117/12.2607977

7 March 2022 Virtual labelling in photoacoustic remote sensing microscopy through time-domain feature extraction

Marian Boktor, Nicholas Pellegrino, Benjamin R. Ecclestone, Paul Fieguth, Parsin Haji Reza

Author Affiliations +

Proceedings Volume PC11960, Photons Plus Ultrasound: Imaging and Sensing 2022; PC119602Q (2022) https://doi.org/10.1117/12.2607977
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Photoacoustic Remote Sensing (PARS®) is a non-contact, label-free imaging modality that provides optical absorption contrast in biological tissues. Images are formed by raster-scanning over a target. A time-domain signal is collected at each point, representing initial pressure-induced via the photoacoustic effect. Conventionally, only the amplitude of the time-domain signals is considered to estimate pixel values, disregarding the rich temporal information present in the signals. For instance, the signal shape carries information, which may be related to specific biological structures. In this work, clustering based on signal shape is explored, followed by feature extraction, enabling the virtual labeling of PARS images.

Conference Presentation

Citation Download Citation

Marian Boktor, Nicholas Pellegrino, Benjamin R. Ecclestone, Paul Fieguth, and Parsin Haji Reza "Virtual labelling in photoacoustic remote sensing microscopy through time-domain feature extraction", Proc. SPIE PC11960, Photons Plus Ultrasound: Imaging and Sensing 2022, PC119602Q (7 March 2022); https://doi.org/10.1117/12.2607977

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