arXiv · 2502.06354
Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
Abstract
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.
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Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, Ryoma Bise. 2025-02-10. Guidance-base Diffusion Models for Improving Photoacoustic Image Quality. https://arxiv.org/abs/2502.06354
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