An outlook on x-ray CT research and development.
By Ge Wang, Hengyong Yu, B. De Man. Medical Physics (Lancaster), 2008
347 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Radiation, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/f78244276b616c156d03d6ed913cbebec610bf08
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Charles A. Bouman
- Jean-Baptiste Thibault
- Ken D. Sauer
- Xiaokun Liang
- Zhicheng Zhang
- Zhou Yu
- Xu Dong
- Yaoqin Xie
In Radiation
In Radiology, Nuclear Medicine and Imaging
- Charles A. Bouman
- Jean-Baptiste Thibault
- Ken D. Sauer
- Xiaokun Liang
- Zhicheng Zhang
- Zhou Yu
- Xu Dong
- Yaoqin Xie
Citations in the corpus
- A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution (2018, methodology): “S INCE its invention [1], [2], X-ray Computed Tomography (CT) as a tool to achieve “inner vision” [3] has been widely utilized in clinical, industrial and other applications [4].”
- Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization (2011, background): “INTRODUCTION Recent applications of model based iterative reconstructi on (MBIR) algorithms to multi-slice helical CT reconstructions have shown that MBIR can greatly improve image quality by increasing resolution as well as reducing noise and some artifacts [1], [2], [3], [4], [5], [6], [7], [8].”