Unveiling precision: a data-driven approach to enhance photoacoustic imaging with sparse data
2023; Optica Publishing Group; Volume: 15; Issue: 1 Linguagem: Inglês
10.1364/boe.506334
ISSN2156-7085
AutoresMengyuan Huang, Wu Liu, Guocheng Sun, C. Shi, Xi Liu, Kaitai Han, Shitou Liu, Zijun Wang, Zhennian Xie, Qianjin Guo,
Tópico(s)Nanoplatforms for cancer theranostics
ResumoThis study presents the Fourier Decay Perception Generative Adversarial Network (FDP-GAN), an innovative approach dedicated to alleviating limitations in photoacoustic imaging stemming from restricted sensor availability and biological tissue heterogeneity. By integrating diverse photoacoustic data, FDP-GAN notably enhances image fidelity and reduces artifacts, particularly in scenarios of low sampling. Its demonstrated effectiveness highlights its potential for substantial contributions to clinical applications, marking a significant stride in addressing pertinent challenges within the realm of photoacoustic acquisition techniques.
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