Unveiling precision: a data-driven approach to enhance photoacoustic imaging with sparse data

Mengyuan Huang; Wu Liu; Guocheng Sun; Chaojing Shi; Xi Liu; Kaitai Han; Shitou Liu; Zijun Wang; Zhennian Xie; and Qianjin Guo

Unveiling precision: a data-driven approach to enhance photoacoustic imaging with sparse data

Author : Mengyuan Huang, Wu Liu, Guocheng Sun, Chaojing Shi, Xi Liu, Kaitai Han, Shitou Liu, Zijun Wang, Zhennian Xie, and Qianjin Guo Journa Name: BIOMEDICAL OPTICS EXPRESS Country : USA Volume: 15 issue: 1 Year: 2024 Views : 554

Abstract:

This 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.