Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-021-08380-0.pdf
Reference42 articles.
1. Brenner DJ (2010) Should we be concerned about the rapid increase in CT usage? Rev Environ Health 25:63–68
2. Pearce MS, Salotti JA, Little MP et al (2012) Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet 380:499–505
3. Mathews JD, Forsythe AV, Brady Z et al (2013) Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. BMJ 346:f2360
4. Brenner DJ, Hall EJ (2007) Computed tomography–an increasing source of radiation exposure. N Engl J Med 357:2277–2284
5. Mahesh M (2010) Medical radiation exposure with focus on CT. Rev Environ Health 25:69–74
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