New Advances in CT Technology for Coronary Plaque Assessment
Supported through an unrestricted educational grant from Canon Medical Systems, USA.
Credits: 1.0 AMA PRA Category 1 credit™ | 1.0 Category A, ARRT credit | 1.0 AHRA CRA credit
CME/CE Credits: Effective Date: June 1, 2023 | Expiration Date: June 30, 2026
This CME and CE accredited program aims to provide a comprehensive overview of new artificial intelligence applications supporting cardiac CT. Through clinical case study reviews, Dr. Dinesh Kalra will share his clinical knowledge and insights into cardiovascular imaging and provide examples of super-resolution, deep-learning reconstructive technologies that are improving cardiac CT image quality and the overall diagnostic confidence in cardiovascular case interpretations.
Dr. Kalra stated, “I'm able to better see the same segments that were difficult to see with older generation scanners. The image sharpness, the resolution, and the low-contrast detection rates have all improved and there's no trade-off, so one doesn’t sacrifice resolution for radiation dose. This allows us to deliver less radiation, see less noise, while obtaining superb image quality.
Following the presentation questions from the audience were addressed in a moderated Q&A session.
Presented by:
Dinesh Kalra, MD, FACC, FSCCT, FSCMR, FNLA
Chief of Cardiology and Professor of Medicine and Radiology,
and Endowed Chair in Cardiovascular Innovations
University of Louisville School of Medicine
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