Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation

Deep learning (DL) shows promise in estimating the absorption coefficient distribution of biological tissue in quantitative photoacoustic tomography (QPAT) imaging, but its application is limited by a lack of ground truth for supervised network training. To address this issue, we propose a DL-based...

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Príomhchruthaitheoirí: Zhaoyong Liang, Zongxin Mo, Shuangyang Zhang, Long Chen, Danni Wang, Chaobin Hu, Li Qi
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: Elsevier 2025-04-01
Sraith:Photoacoustics
Ábhair:
Rochtain ar líne:http://www.sciencedirect.com/science/article/pii/S2213597925000035