Strategies for CT radiation dose optimization.

By Mannudeep K. Kalra, M. Maher, T. Toth, L. Hamberg, M. Blake, J. Shepard, S. Saini. Radiology, 2004

1,173 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/86a8972c2b91545ba63f7272807074abbf60ea3f

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

1. Yi Zhang
2. Wenxiang Cong
3. Xiaokun Liang
4. Zhicheng Zhang
5. Xu Dong
6. Yaoqin Xie
7. Guohua Cao
8. Ge Wang

In Radiology, Nuclear Medicine and Imaging

1. Yi Zhang
2. Wenxiang Cong
3. Xiaokun Liang
4. Zhicheng Zhang
5. Xu Dong
6. Yaoqin Xie
7. Guohua Cao
8. Ge Wang

Citations in the corpus

• Lung ultrasound in the critically ill (2014, background): “Concerns about the risks of irradiation, especially in pediatric patients, are being increasingly discussed [60–62].”
• A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution (2018, background): “As a result, the demand for radiation dose reduction techniques becomes more necessary [6] under the principle of ALARA (as low as reasonably achievable) [7].”
• CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE) (2018, background): “With rising concerns over increased lifetime risk of cancer by radiation dose associated with CT, several studies have assessed manipulation of scanning parameters and newer technologic developments as well as adoption of advanced reconstruction techniques for radiation dose reduction [89]–[93].”