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9 March 2023 In-vivo demonstration and validation of U-net based real-time photoacoustic imaging with LED arrays
Avijit Paul, Allison Sweeney, Christopher Nguyen, Srivalleesha Mallidi
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Proceedings Volume PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023; PC1237919 (2023) https://doi.org/10.1117/12.2650767
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Portable LED-based systems attempt to replace the bulky laser-based photoacoustic (PA) systems. The problem with LEDs is their low energy which generates low signal-to-noise-ratio (SNR) images. To obtain a high SNR image in real-time, we built a deep learning U-net model which transforms a low no. of frame-averaged image into a high no. of frame-averaged quality image. Both laser-based Vevo LAZR-X system and immunofluorescence histology staining show similar vascular organizations with hypoxic cores. We also achieved high SNR by running the algorithm on acoustic-resolution PA microscopy captured images. This generic network can be implemented in multiple scenarios.
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Avijit Paul, Allison Sweeney, Christopher Nguyen, and Srivalleesha Mallidi "In-vivo demonstration and validation of U-net based real-time photoacoustic imaging with LED arrays", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC1237919 (9 March 2023); https://doi.org/10.1117/12.2650767
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KEYWORDS
Light emitting diodes
In vivo imaging
Signal to noise ratio
Image quality
Imaging arrays
Imaging systems
Photoacoustic imaging
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