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9 March 2023 Self-supervised deep learning-based resolution enhancement in photoacoustic computed tomography
Anthony DiSpirito III, Tri Vu, Yuqi Tang, Junjie Yao
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Proceedings Volume PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023; PC123791G (2023) https://doi.org/10.1117/12.2650817
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Traditional deconvolution methods can improve the spatial resolution of photoacoustic computed tomography (PACT) systems but are often sensitive to noise. We propose a novel approach to enhance the resolution of PACT, by modeling the system’s point spread function (PSF) and performing deep-learning-based deconvolution. We train a robust deep learning model without the need for ground truth, using a self-supervised method on a mixed dataset of simulation, phantom, and in vivo data, in combination with various data augmentation techniques. We demonstrate that our deep learning deconvolution achieves superior spatial resolution, image contrast, and artifact suppression, when compared to traditional deconvolution methods.
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Anthony DiSpirito III, Tri Vu, Yuqi Tang, and Junjie Yao "Self-supervised deep learning-based resolution enhancement in photoacoustic computed tomography", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123791G (9 March 2023); https://doi.org/10.1117/12.2650817
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KEYWORDS
Deconvolution
Photoacoustic tomography
Point spread functions
Data modeling
Resolution enhancement technologies
Spatial resolution
Denoising
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