Use of artificial intelligence in computed tomography dose optimisation

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


The field of artificial intelligence (AI) is transforming almost every aspect of modern society, including medical imaging. In computed tomography (CT), AI holds the promise of enabling further reductions in patient radiation dose through automation and optimisation of data acquisition processes, including patient positioning and acquisition parameter settings. Subsequent to data collection, optimisation of image reconstruction parameters, advanced reconstruction algorithms, and image denoising methods improve several aspects of image quality, especially in reducing image noise and enabling the use of lower radiation doses for data acquisition. Finally, AI-based methods to automatically segment organs or detect and characterise pathology have been translated out of the research environment and into clinical practice to bring automation, increased sensitivity, and new clinical applications to patient care, ultimately increasing the benefit to the patient from medically justified CT examinations. In summary, since the introduction of CT, a large number of technical advances have enabled increased clinical benefit and decreased patient risk, not only by reducing radiation dose, but also by reducing the likelihood of errors in the performance and interpretation of medically justified CT examinations.

Original languageEnglish (US)
Pages (from-to)113-125
Number of pages13
JournalAnnals of the ICRP
Issue number1_suppl
StatePublished - Dec 2020


  • Artificial intelligence
  • Deep learning
  • Dose optimisation
  • Patient dose
  • X-ray computed tomography

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Public Health, Environmental and Occupational Health


Dive into the research topics of 'Use of artificial intelligence in computed tomography dose optimisation'. Together they form a unique fingerprint.

Cite this