Moderator: Prof. Mathias Prokop MD, PhD
Radiologist, Professor and Chairman, Department of Medical Imaging
Radboud University Medical Center
Nijmegen, the Netherlands

Mathias Prokop is Professor of Radiology and Chairman of the Department of Medical Imaging at Radboud University Medical Center in Nijmegen, the Netherlands. His department focusses on impactful innovations in care and now hosts one of the largest research groups in Europe. For decades, he has been involved with many technological and clinical innovations in CT, from dual energy, spiral scanning, CTA, gated imaging, multidetector technology, dose reduction, low-kV scanning, to more recently, ultrahigh-resolution CT, image reconstruction and photon-counting CT.

---

Speaker: Dr. Russell Bull BSc, MBBChir, MRCP, FRCR, FSCCT
Radiologist, Consultant Radiologist
Royal Bournemouth Hospital
Bournemouth, UK

Dr. Bull trained in radiology in Cambridge, UK and was appointed as a consultant radiologist at the Royal Bournemouth Hospital in 2000. He set up one of the first cardiac CT services in the UK in 2003 and a cardiac MRI service in 2005. The Royal Bournemouth Hospital is now one of the largest 'general hospital' cardiac CT and MRI units in the country. He is responsible for training radiology and cardiology fellows and registrars. He has a major interest in the technical developments of CT and MRI and has been involved in developing software and hardware to make cardiac scanning easier, faster and more robust. He is the immediate past Travelling Cardiac Professor of the Royal College of Radiologists/BSCI/BSCCT and a past president of BSCI/BSCCT. He is a past Chair of the BCS imaging council responsible for coordinating the activities of the UK cardiac cross-sectional imaging societies.

Presentation Title: Deep learning with the Aquilion ONE Insight: from Acquisition to Reconstruction

Abstract: Deep Learning, a type of artificial intelligence, has the potential to revolutionise CT scanning both in terms of image acquisition and workflow, as well as enhancing image quality. This presentation will explore the latest technological advances available on the Aquilion ONE Insight CT platform. The new INSTINX software platform will be discussed allowing automated scan planning and selection of parameters using deep learning techniques and the impact of this technology on ease of scanning and patient throughput.
Canon’s new ultra-high resolution deep learning reconstruction technology, PIQE 1024, will be discussed, particularly focusing on cardiac and lung scanning. In addition, Canon’s new CLEAR Motion Cardiac coronary reconstruction technology will be discussed together with its potential implications regarding increased robustness of scanning, improved image quality at high heart rates, and its potential to reduce radiation dose and increase patient throughput in the future.

Learning objectives: To appreciate the ‘real world’ impact of deep learning CT technology in a high throughput general hospital environment

---

Speaker: Prof. Martine Rémy - JARDIN MD, PhD
Chest Radiologist
Former Head of Department of chest imaging, Lille University Hospital Center, France.
Currently supervising clinical activities in the IMALLIANCE Hauts-de-France Radiology Group (dedicated to chest CT examinations) and clinical research activities in photon-counting CT (collaboration with Prof. Prokop) Radboud University Medical Center; Nijmegen (Netherlands)

Dr. Rémy-Jardin’s main fields of clinical interest include pulmonary vascular diseases, diffuse infiltrative lung diseases, cardiac and pulmonary functional imaging, and reduction in radiation dose. She has been implicated in all successive CT technological advances since the late 1990s, with a current main focus on photon-counting CT, which she introduced in clinical routine in 2021 and investigated over three years. These clinical implications have regularly been topics of scientific publications, with over 250 PubMed referenced publications, including over 250 peer-reviewed scientific publications, and several book chapters.

Presentation Title: Current Clinical Experiences and Prospectives with CZT-based Photon Counting Detector CT

Abstract: After a decade of preclinical evaluation, photon-counting-detector CT (PCD-CT) has started a new phase of evaluation in the conditions of routine clinical practice. From preliminary investigations, it appears that PCD-CT fulfills the expectations in terms of improved resolution and dose reduction while providing full spectral availability. In this presentation, our objective is to highlight the results of prime-time investigations with CZTbased Photon Counting Detector CT in the two main fields of application, namely ultra-high resolution and CT angiography, and to present forthcoming innovations in chest CT indications. In parallel to the evolution of this technology, the medical community will become familiar with the scanning modes and reconstruction options while data storage and work-flow issues will also be integrated for daily use.

Learning objectives:

• This session will summarize current results in image quality and radiation dose reduction.
• The perspectives in terms of impact of this technology in clinical management will be covered.

• ---