Deep learning boosts the imaging speed of photoacoustic endomicroscopy

Tianrui Zhao; Mengjie Shi; Sébastien Ourselin; Tom Vercauteren; Wenfeng Xia

doi:10.1117/12.2649088

9 March 2023 Deep learning boosts the imaging speed of photoacoustic endomicroscopy

Tianrui Zhao, Mengjie Shi, Sébastien Ourselin, Tom Vercauteren, Wenfeng Xia

Proceedings Volume 12379, Photons Plus Ultrasound: Imaging and Sensing 2023; 123790J (2023) https://doi.org/10.1117/12.2649088
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

High-speed photoacoustic (PA) endomicroscopy imaging is desired for real-time guidance of minimally invasive surgery. However, the imaging speed of wavefront shaping-based endomicroscopy has been limited by the speed of spatial light modulators. In this work, a deep convolutional neural network was used to improve the imaging speed of a newly developed PA endomicroscopy system by enhancing sparsely sampled PA images. With a carbon fibre phantom, this method increased the imaging speed by 16 times without significantly affecting the image quality. With further validation on more complex datasets, this approach is promising to achieve real-time PA endomicroscopy imaging via wavefront shaping.

Conference Presentation

Citation Download Citation

Tianrui Zhao, Mengjie Shi, Sébastien Ourselin, Tom Vercauteren, and Wenfeng Xia "Deep learning boosts the imaging speed of photoacoustic endomicroscopy", Proc. SPIE 12379, Photons Plus Ultrasound: Imaging and Sensing 2023, 123790J (9 March 2023); https://doi.org/10.1117/12.2649088

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