3 papers
eess.IV2025
PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space Learning
Bin Huang, Feihong Xu, Xinchong Shi +4
In clinical practice, single-radiotracer positron emission tomography (PET) is commonly used for imaging. Although multi-tracer PET imaging can provide supplementary information of…
cs.CV2025
Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework
Bin Huang, Binzhong He, Yanhan Chen +4
Deep learning has significantly advanced PET image re-construction, achieving remarkable improvements in image quality through direct training on sinogram or image data. Traditiona…
cs.LG2024
RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction
Xingyu Ai, Bin Huang, Fang Chen +4
Recent advances in diffusion models have demonstrated exceptional performance in generative tasks across vari-ous fields. In positron emission tomography (PET), the reduction in tr…