Do CNNs solve the CT inverse problem?
IEEE Transactions on Biomedical Engineering(2021)
摘要
Objective: This work examines the claim made in the literature that the inverse problem associated with image reconstruction in sparse-view computed tomography (CT) can be solved with a convolutional neural network (CNN). Methods: Training, and testing image/data pairs are generated in a dedicated breast CT simulation for sparse-view sampling, using two different object models. The trained CNN is ...
更多查看译文
关键词
Inverse problems,Computed tomography,Numerical models,Biomedical measurement,Image reconstruction,Data models,Stability analysis
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要