Unsupervised PET Reconstruction from a Bayesian Perspective

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)

引用 3|浏览11
暂无评分
摘要
Positron emission tomography (PET) reconstruction becomes an ill-posed inverse problem due to the low-count projection data (sinogram). In this paper, we leverage DeepRED from a Bayesian perspective to reconstruct PET image from a single corrupted sinogram without any supervised or auxiliary in-formation. DeepRED is a typical representation learning that combines deep image prior (DIP) and regular...
更多
查看译文
关键词
Training,Representation learning,Monte Carlo methods,Gaussian noise,Noise reduction,Visual effects,Bayes methods
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要