Satellite Symposia at ECR 2026
Building on the strong participation in recent years, Canon Medical Academy has doubled its offering for the European Congress of Radiology (ECR) 2026 in Vienna, with two dedicated satellite symposia supporting our continuous education program.
Together, these sessions aim to help push the boundaries of knowledge in everyday radiology practice.
Together, these sessions aim to help push the boundaries of knowledge in everyday radiology practice.
ECR 2026 | Satellite Symposium | Canon Medical Academy
Advancing CEUS in Radiology: Clinical Innovations, Faster Pathways, Higher Efficiency | Symposium
Thursday, March 5, 2026, 14:30–15:30 (60 min) | Room G2
Discover how contrast-enhanced ultrasound (CEUS) is opening new possibilities in radiology during this dedicated symposium organized in collaboration with Bracco.
Join us on March 5 (14:30) while Prof. Thomas Fischer, and Prof. Maija Radzina, moderated by Prof. Adrian Lim, will share clinical experience and case examples showing how CEUS can support faster diagnostic pathways, reduce uncertainty, and improve efficiency in everyday practice.
Program
Join us on March 5 (14:30) while Prof. Thomas Fischer, and Prof. Maija Radzina, moderated by Prof. Adrian Lim, will share clinical experience and case examples showing how CEUS can support faster diagnostic pathways, reduce uncertainty, and improve efficiency in everyday practice.
Program
- Introduction | Prof. Adrian Lim
- State of the Art Abdominal CEUS Clinical Innovations | Prof. Thomas Fischer
- Diagnostic and Economic Benefits of CEUS in Clinical Routine | Prof. Maija Radzina
- Live Q&A moderated by Prof. Adrian Lim
- Learn about various clinical applications of CEUS in the field of radiology
- Recognize the benefits of CEUS by integrating it into the imaging routine of a modern radiology department
- Understand the latest clinical innovations and evidence supporting CEUS
- Learn how CEUS accelerates patient pathways and diagnostic efficiency
ECR 2026 | Satellite Symposium | Canon Medical Academy
The Next Level of Diagnostic Quality in Photon Counting and Area Detector CT: AI, Spectral, and UHR | Symposium
Friday, March 6, 2026, 09:30–10:30 (60min), Room N
Explore how photon-counting and advanced area detector CT technologies are redefining diagnostic quality at our symposium on March 6 (09:30).
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.
Program
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.
Program
- Introduction | Prof. Mathias Prokop
- Latest Deep Learning Technologies in Cardiac CT: One-Beat Super-Resolution Imaging with Whole-Heart Motion Correction | Prof. Mickaël Ohana
- Photon-Counting CT in Chest Imaging: Most Promising Applications to Improve Patient Management | Prof. Martine Remy-Jardin
- Clinical Applications of Photon-Counting CT in Head and Neck Cancer Imaging | Prof. Hirofumi Kuno
- Live Q&A moderated by Prof. Mathias Prokop
- 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
Advancing CEUS in Radiology: Clinical Innovations, Faster Pathways, Higher efficiency
Moderator: Prof. Adrian Lim
Professor and Consultant Radiologist
Imperial College London and the Healthcare NHS Trust
London, United Kingdom
Professor and Consultant Radiologist
Imperial College London and the Healthcare NHS Trust
London, United Kingdom
Speaker: Prof. Thomas Fischer
Radiologist, Head of Interdisciplinary Ultrasound Center,
Radiology, Executive Senior Physician, Department of Radiology
Charité University Medicine
Berlin, Germany
Presentation: State of the Art Abdominal CEUS Clinical Innovations
Abstract: Explore the clinical applications of contrast-enhanced ultrasound (CEUS) in radiology and review the latest innovations and supporting evidence shaping its use in patient care.
Radiologist, Head of Interdisciplinary Ultrasound Center,
Radiology, Executive Senior Physician, Department of Radiology
Charité University Medicine
Berlin, Germany
Presentation: State of the Art Abdominal CEUS Clinical Innovations
Abstract: Explore the clinical applications of contrast-enhanced ultrasound (CEUS) in radiology and review the latest innovations and supporting evidence shaping its use in patient care.
Speaker: Prof. Maija Radzina
Tenured Professor
Pauls Stradiņš Clinical University Hospital
Riga, Latvia
European Radiology Society, Executive Council member
Presentation: Diagnostic and Economic Benefits of CEUS in Clinical Routine
Abstract: Discover how contrast-enhanced ultrasound (CEUS) streamlines patient pathways, improves diagnostic efficiency, and enhances modern radiology practice by integrating its benefits into routine imaging.
Tenured Professor
Pauls Stradiņš Clinical University Hospital
Riga, Latvia
European Radiology Society, Executive Council member
Presentation: Diagnostic and Economic Benefits of CEUS in Clinical Routine
Abstract: Discover how contrast-enhanced ultrasound (CEUS) streamlines patient pathways, improves diagnostic efficiency, and enhances modern radiology practice by integrating its benefits into routine imaging.
The Next Level of Diagnostic Quality in Photon Counting and Area Detector CT: AI, Spectral, and UHR
Moderator: Prof. Mathias Prokop
Radiologist, Professor, and Chairman, Department of Medical Imaging
Radboud University Medical Center
Nijmegen, the Netherlands
Radiologist, Professor, and Chairman, Department of Medical Imaging
Radboud University Medical Center
Nijmegen, the Netherlands
Speaker: Prof. Mickaël Ohana
Consultant Radiologist
Strasbourg University Hospital
Strasbourg, FRANCE
Presentation: Latest Deep Learning Technologies in Cardiac CT: One-Beat Super-Resolution Imaging with Whole-Heart Motion Correction
Abstract: Achieving optimal image quality in cardiac CT imaging requires a combined high spatial and temporal resolution to minimize blooming and motion artifacts. This presentation will show how this can be achieved with wide-area detector CT coupled with the latest deep learning technologies. Thanks to a fast gantry rotation time and the application of deep learning-based motion correction (CLEAR Motion Cardiac), new levels of temporal resolution can be achieved, enabling the acquisition in a single heartbeat even in patients with high heart rates.
Furthermore, super-resolution deep learning reconstruction (PIQE) provides images at improved spatial resolution, going beyond the size of the physical detector elements. As a result of these technologies, cardiac CT imaging has become feasible and accessible to all patients, including those with high calcium scores, high heart rates, and high body mass index. In this presentation, these technologies will be explained, and both clinical cases and the latest scientific findings will be presented.
Consultant Radiologist
Strasbourg University Hospital
Strasbourg, FRANCE
Presentation: Latest Deep Learning Technologies in Cardiac CT: One-Beat Super-Resolution Imaging with Whole-Heart Motion Correction
Abstract: Achieving optimal image quality in cardiac CT imaging requires a combined high spatial and temporal resolution to minimize blooming and motion artifacts. This presentation will show how this can be achieved with wide-area detector CT coupled with the latest deep learning technologies. Thanks to a fast gantry rotation time and the application of deep learning-based motion correction (CLEAR Motion Cardiac), new levels of temporal resolution can be achieved, enabling the acquisition in a single heartbeat even in patients with high heart rates.
Furthermore, super-resolution deep learning reconstruction (PIQE) provides images at improved spatial resolution, going beyond the size of the physical detector elements. As a result of these technologies, cardiac CT imaging has become feasible and accessible to all patients, including those with high calcium scores, high heart rates, and high body mass index. In this presentation, these technologies will be explained, and both clinical cases and the latest scientific findings will be presented.
Speaker: Prof. Martine Remy-Jardin
Chest Radiologist
Radboud University Medical Center
Nijmegen, the Netherlands
Presentation: Photon-Counting CT in Chest Imaging: Most Promising Applications to Improve Patient Management
Abstract: It is now clear that photon-counting CT fulfills the expectations of improved spatial resolution and dose reduction, and holds the promise of improving patient management. In this session, the most recent results on photon-counting CT in chest imaging will be presented, with a focus on a cadmium-zinc-telluride (CZT)-based system equipped with deep-learning reconstruction technology. In parallel to the description of this technology and its potential, early clinical findings will be presented, and the potential to improve patient management will be discussed.
Chest Radiologist
Radboud University Medical Center
Nijmegen, the Netherlands
Presentation: Photon-Counting CT in Chest Imaging: Most Promising Applications to Improve Patient Management
Abstract: It is now clear that photon-counting CT fulfills the expectations of improved spatial resolution and dose reduction, and holds the promise of improving patient management. In this session, the most recent results on photon-counting CT in chest imaging will be presented, with a focus on a cadmium-zinc-telluride (CZT)-based system equipped with deep-learning reconstruction technology. In parallel to the description of this technology and its potential, early clinical findings will be presented, and the potential to improve patient management will be discussed.
Speaker: Prof. Hirofumi Kuno
Section Head, Department of Diagnostic Radiology
National Cancer Center Hospital East
Kashiwa, Japan
Presentation: Clinical Applications of Photon-Counting CT in Head and Neck Cancer imaging
Abstract: CT imaging for head and neck cancer has advanced with dual-energy CT and ultra-high-resolution systems such as the Aquilion Precision CT, enhanced by deep-learning reconstruction (AiCE) for improved image quality at reduced dose. Photon-counting CT (PCCT) represents a further development, offering high spatial resolution and true multi-energy spectral data in a single acquisition. This session will discuss practical PCCT protocols for head and neck imaging and demonstrate how these capabilities enhance diagnostic performance in routine clinical practice. The integration of deep-learning–based noise reduction in PCCT and its clinical impact will also be discussed.
Section Head, Department of Diagnostic Radiology
National Cancer Center Hospital East
Kashiwa, Japan
Presentation: Clinical Applications of Photon-Counting CT in Head and Neck Cancer imaging
Abstract: CT imaging for head and neck cancer has advanced with dual-energy CT and ultra-high-resolution systems such as the Aquilion Precision CT, enhanced by deep-learning reconstruction (AiCE) for improved image quality at reduced dose. Photon-counting CT (PCCT) represents a further development, offering high spatial resolution and true multi-energy spectral data in a single acquisition. This session will discuss practical PCCT protocols for head and neck imaging and demonstrate how these capabilities enhance diagnostic performance in routine clinical practice. The integration of deep-learning–based noise reduction in PCCT and its clinical impact will also be discussed.
Disclaimers
Due to medical device regulatory reasons, not all products/services displayed on this Canon Medical Systems webpage are available in all countries or markets. Future availability of the products/service cannot also be guaranteed. Don't hesitate to contact your local Canon Medical Systems representative for further details.
