Photoacoustic(PA) imaging is a non-destructive and non-invasive technology for visualizing minute blood vessel structures in the body using ultrasonic sensors. In PA imaging, the image quality of a single-shot image is poor, and it is necessary to improve the image quality by averaging many single-shot images. Therefore, imaging the entire subject requires high imaging costs. In our study, we propose a method to improve the quality of PA images using diffusion models. In our method, we improve the reverse diffusion process using sensor information of PA imaging and introduce a guidance method using imaging condition information to generate high-quality images.
@article{arxiv.2502.06354,
title = {Guidance-base Diffusion Models for Improving Photoacoustic Image Quality},
author = {Tatsuhiro Eguchi and Shumpei Takezaki and Mihoko Shimano and Takayuki Yagi and Ryoma Bise},
journal= {arXiv preprint arXiv:2502.06354},
year = {2025}
}