A Deep Learning-Based Speed-of-Sound Correction Model for Vascular Photoacoustic Imaging

A deep learning-based speed-of-sound correction model is proposed, which performs nine image reconstructions and fusions based on different speed-of-sound distributions, ultimately outputting a single-channel clear reconstruction, thereby significantly improving reconstruction quality and reducing artifacts.