Discover What’s Next in Thoracic Imaging at ESTI 2025

Join Canon Medical at the European Society of Thoracic Imaging (ESTI) congress in Bergen, Norway (June 12–14), and discover the latest advancements in thoracic imaging, including innovations in photon-counting CT and deep learning reconstruction.

Visit our booth to connect with a team of specialists and learn how our meaningful innovations are helping radiologists improve diagnostic accuracy, efficiency, and patient outcomes across a range of lung conditions.

On June 14 (12:20–13:20), we are also pleased to invite you to the “Innovations in Chest CT: Clinical Impact of UHR Deep Learning Reconstruction and Photon Counting” symposium, made possible by the Canon Medical Academy; where leading experts will present how recent advancements in ultra-high resolution (UHR) deep learning reconstruction and photon-counting detector CT are shaping the future of thoracic imaging.

Canon Medical Academy

ESTI SYMPOSIUM 2025
Innovations in Chest CT

Clinical Impact of UHR Deep Learning Reconstruction and Photon Counting

Innovations in chest CT

Don’t miss the opportunity and join us for the “Innovations in Chest CT: Clinical Impact of UHR Deep Learning Reconstruction and Photon Counting” symposium, with Prof. Cornelia M. Schaefer-Prokop, Prof. Mathias Prokop, and Prof. Annemiek Snoeckx.

Innovations in Chest CT: Clinical Impact of UHR Deep Learning Reconstruction and Photon Counting

Saturday, June 14 | 12:20–13:20 (CEST)
CT has been evolving rapidly in the past few years. Advancements in hardware and software have made possible the achievement of both ultra-high resolution (UHR) and low noise, at no dose expense. This has important applications in chest CT, where low-dose and ultra-low-dose requirements are especially important, and where improvements in spatial resolution may yield more accurate detection and characterization of lung nodules and lung diseases.
This symposium will present the most recent advancements and technological innovations, with a focus on how UHR deep learning reconstruction and CZT-based photon-counting detector CT may impact the diagnosis and management of lung nodules and interstitial lung diseases.

Program

  • The Impact of CT Deep Learning Reconstruction in Interstitial Lung Disease | Prof. Cornelia M. Schaefer-Prokop
  • Lung Nodule Management: Clinical Challenges and Technological Solutions | Prof. Mathias Prokop
  • Live Q&A moderated by Prof. Annemiek Snoeckx

Why Should You Attend?

  • Learn the latest technological advancements in CT hardware and software, including UHR deep learning reconstruction and CZT-based photon-counting detector CT
  • Learn how deep learning can increase the spatial resolution of conventional CT and how it can potentially impact diagnostic performance
  • Understand the benefits of CZT-based photon-counting detector CT coupled with deep learning reconstruction in lung diseases

  Speakers and Presentations

Moderator: Prof. Annemiek Snoeckx, MD, PhD
Associate Professor, University of Antwerp; Head of the Radiology Department, Antwerp University Hospital
Antwerp University Hospital
Edegem, Belgium

Discover More About the Moderator

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

Presentation: Lung Nodule Management: Clinical Challenges and Technological Solutions

This presentation will describe the current clinical challenges in lung nodule management, and how the latest advancements in CT technology can help tackle them. Improved image quality through Artificial Intelligence-based image reconstruction and novel detector technologies, including CZT photon-counting detectors, is a crucial factor to achieve this: low noise becomes feasible for low- and ultra-low-dose scanning for nodule follow-up and screening.

Reduced image noise and higher resolution will help in evaluation of nodule morphology. All technologies will help improve reproducibility of volumetric measurements, which will allow for more accurate estimation of nodule growth, thus reducing false positive scans while still detecting aggressive malignancies early. Technology will become the key for even more cost-effective screening and further improvement in patient outcome.

Discover More About the Moderator

Speaker : Prof. Cornelia M. Schaefer-Prokop, MD, PhD
Radiologist
Meander Medical Centre (and Radboud University Medical Center)
Amersfoort, the Netherlands

Presentation: The Impact of CT Deep Learning Reconstruction in Interstitial Lung Disease

High image quality is essential for the assessment of interstitial lung disease. This presentation will show the latest advancements in deep learning image reconstruction (DLR), and how it can achieve high- and ultra-high-resolution capabilities at various dose levels. The potential clinical benefits of this technology in energy-integrating CT and photon counting CT will be discussed.

Discover More About the Moderator

 

Disclaimers

  • The opinions expressed in this material are solely those of the presenter and not necessarily those of Canon Medical Systems. Canon Medical Systems does not guarantee the accuracy or reliability of the information provided herein.
  • The clinical results, performance and views described in this video/webinar are the experience of the clinician. Results may vary due to clinical setting, patient presentation and other factors. Many factors could cause the actual results and performance of Canon Medical’s products to be materially different from any of the aforementioned.
  • Some products shown might not be available in all regulatory jurisdictions, please consult with your local Canon sales office for availability in your region.

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