一种基于前向成像模型的光声层析图像重建方法OACSTPCD

Aiming at the issue of degraded image quality in photoacoustic tomography(PAT)caused by the inhomogeneous light fluence distribution,complex optical and acoustic properties of biological tissues,and non-ideal properties of ultrasonic detectors,we propose a comprehensive forward imaging model.The model takes into account variables such as the inhomogeneous light fluence,unsteady speed of sound,spatial and electrical impulse responses of ultrasonic transducers,limited-view scanning,and sparse sampling.The in-verse problem of the imaging model is solved by alternate optimization,and images representing optical ab-sorption and speed of sound(SoS)distributions are reconstructed simultaneously.The results indicate that the structural similarity of the reconstructed images of the proposed method can be enhanced by about 83%,56%,and 22%,in comparison with back projection,time-reversal,and short-lag spatial coherence techniques,respectively.Additionally,the peak signal-to-noise ratio can be improved by approximately 80%,68%and 58%,respectively.This method considerably enhances the image quality of non-ideal imaging scenarios when compared to traditional techniques.