Assessment of Coronary Plaque Morphology, Stents and In-Stent Restenosis with Wide-Area Detector CT and Ultra-High Resolution Deep Learning Reconstruction
This workshop will show how to optimize CT acquisition and reconstruction for excellent image quality in coronary artery imaging. Special emphasis will be placed on the impact of reconstruction algorithms using artificial intelligence (AiCE, PIQE). This is the prerequisite for in detail analysis of plaque characterization.
As CT is more and more facilitated for follow-up examinations of patients with coronary artery disease stent visualization and exclusion of in-stent or post-stent stenosis is important. Examples of stent visualization with different reconstruction techniques will be showed.
Workshop recording from ECR 2026
Dr. Sebastian Ley
Radiologist Head of Department Internistisches Klinikum München Süd Munich, GermanyCourse Information
At the end of this lecture, delegates will:
- To learn about latest CT techniques for optimal image acquisition for coronary artery visualization
- To experience the improved image quality of reconstruction algorithms suing AI
- Examples of different plaque characteristics and stent visualization
This educational talk was created on 5th March 2026. All information contained in this session was correct at the time of distribution.
Disclaimer: Appearing on the Canon Medical Academy does not represent a commercial partnership or interest from the speaker. The views herein do not represent the views of Canon Medical Systems Ltd.
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