Concerns over need for CT radiation dose optimization and reduction led to improved
scanner efficiency and introduction of several reconstruction techniques and image
processing-based software. The latest technologies use artificial intelligence (AI)
for CT dose optimization and image quality improvement. While CT dose optimization
has and can benefit from AI, variations in scanner technologies, reconstruction methods,
and scan protocols can lead to substantial variations in radiation doses and image
quality across and within different scanners. These variations in turn can influence
performance of AI algorithms being deployed for tasks such as detection, segmentation,
characterization, and quantification. We review the complex relationship between AI
and CT radiation dose.
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Article info
Publication history
Published online: November 24, 2021
Accepted:
October 17,
2021
Received in revised form:
October 15,
2021
Received:
July 27,
2021
Identification
Copyright
© 2021 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
