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.
Speaker
Prof. Cornelia M. Schaefer-Prokop
Radiologist
Head of Imaging Department, Meander Medical Centre, Radboud University Medical Center, Amersfoort, NetherlandsCourse Information
At the end of this lecture, delegates will:
- Understand the impact and importance of image reconstruction on the image quality of high resolution CT in the context of interstitial lung disease
- Understand how deep learning reconstruction can achieve high-resolution and low noise capabilities under various dose levels, in both conventional and photon counting CT
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This educational talk was created on 14th June 2025. 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.
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