Physics-informed neural network for photoacoustic tomography reconstruction.
OBJECTIVE Conventional photoacoustic tomography (PAT) reconstruction algorithms often suffer from performance degradation under complex media and non-ideal detection conditions. To tackle these limitations, we propose a novel reconstruction method based on physics-informed neural networks (PINNs). Approach: The networ...