EuroSafe Imaging Session

EU 21 - Optimising medical imaging with AI: joint American-European approach to balancing quality and radiation

March 7, 16:00 - 17:30 CET

4 min
Chairperson's introduction
14 min
The concept of appropriate image quality
14 min
Benefit/risk assessment for AI-based imaging
12 min
The goals of optimisation of medical imaging with respect to ionising radiation
  1. To learn about the need for optimisation of medical imaging.
  2. To appreciate the opportunities of AI in optimising imaging studies from justification to image reconstruction.
  3. To understand the challenges of AI use in everyday practice.
12 min
Using AI for optimisation of medical imaging using ionising radiation
  1. To learn how AI can improve image quality and/or allow dose reduction.
  2. To appreciate the limitations of AI in restoring signal-to-noise lost at low doses.
  3. To understand contrast-dependent MTF and that low-contrast smoothing can occur with AI methods.
12 min
Detecting and avoiding pitfalls in AI-based image reconstruction
  1. To see that subtle anatomical changes may be introduced by AI-based image reconstruction.
  2. To learn how a dedicated metric could penalise such modifications.
  3. To understand how hallucinations could be detected or visualised.
14 min
Coupling dose management and image quality management for AI-based radiological imaging
  1. To learn how dose and image management are related.
  2. To appreciate the challenges in dose and image quality management.
  3. To understand how AI can help in image and dose management.
8 min
Panel discussion