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25 January 2024 Enhancing photoacoustic imaging with BFP-GAN
Mengyuan Huang, Wu Liu, Qianjin Guo
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Proceedings Volume 12972, International Academic Conference on Optics and Photonics (IACOP 2023); 1297209 (2024) https://doi.org/10.1117/12.3022594
Event: International Academic Conference on Optics and Photonics (IACOP 2023), 2023, ONLINE, China
Abstract
This study introduces Binary Fourier Perception Generative Adversarial Network (BFP-GAN), a tailored approach for improved photoacoustic image generation in data-sparse environments. By combining GAN and Fourier decay perception techniques, the method markedly enhances image quality. Experimental validation using PAM and PAT datasets demonstrates its effectiveness in reducing artifacts and improving fidelity with limited data. BFP-GAN holds significant promise for diverse clinical applications, representing a major advancement in photoacoustic imaging technology.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Mengyuan Huang, Wu Liu, and Qianjin Guo "Enhancing photoacoustic imaging with BFP-GAN", Proc. SPIE 12972, International Academic Conference on Optics and Photonics (IACOP 2023), 1297209 (25 January 2024); https://doi.org/10.1117/12.3022594
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KEYWORDS
Image restoration
Photoacoustic imaging
Image quality
Transducers
Image enhancement
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