ECR 2026 Symposium | The Next Level of Diagnostic Quality in Photon Counting and Area Detector CT: AI, Spectral, and UHR
During this session – moderated by Prof. Matthias Prokop – Prof. Mickaël Ohana, Prof. Martine Remy-Jardin, and Prof. Hirofumi Kuno will discuss how ultra-high resolution, inherent spectral information, and AI-supported workflows can work together to enhance image quality and support more confident decision-making.
Using real-world case examples, the session will illustrate how these CT innovations can streamline complex pathways, address challenging clinical questions, and ultimately improve patient outcomes.
Symposium recording from ECR 2026
Prof. Mathias Prokop
Professor of Radiology and Chairman of the Department of Medical Imaging
Radboud University Medical Center, Netherlands
Prof. Mickaël Ohana
Consultant Radiologist
Strasbourg University Hospital, France
Prof. Martine Remy-Jardin
Consultant Radiologist
Radboud University Medical Center, Netherlands
Prof. Hirofumi Kuno
Consultant Radiologist
National Cancer Center Hospital East Kashiwa, JapanCourse Information
At the end of this lecture, delegates will:
- Identify the latest technological innovations in energy-integrating detector CT and photon-counting detector CT
- Review state-of-the-art deep learning technologies and how they can improve CT image quality
- Discuss how these technologies can improve diagnostic interpretability and potentially patient management in different clinical areas
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.
