3D Feature Constrained Reconstruction for Low-Dose CT Imaging.

IEEE Transactions on Circuits and Systems for Video Technology(2018)

引用 123|浏览150
暂无评分
摘要
Low-dose computed tomography (LDCT) images are often highly degraded by amplified mottle noise and streak artifacts. Maintaining image quality under low-dose scan protocols is a well-known challenge. Recently, sparse representation-based techniques have been shown to be efficient in improving such CT images. In this paper, we propose a 3D feature constrained reconstruction (3D-FCR) algorithm for L...
更多
查看译文
关键词
Dictionaries,Image reconstruction,Computed tomography,Three-dimensional displays,Minimization,Algorithm design and analysis,Image quality
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