This Journal CME activity will provide an introduction to deep-learning-based methods of attenuation correction for SPECT and PET.

This activity is targeted at imaging professionals and is intended to provide the latest information on clinical practice and cutting-edge scientific advances in nuclear cardiology and cardiac imaging.

After reading and reflecting upon this article in the Journal Nuclear Cardiology, the learner should be able to:

• Recognize the basic principles of the photon attenuation and AC in SPECT and PET
• Be familiar with the conventional non-deep-learning AC methods and identify their drawbacks
• Be familiar with recent deep-learning-based direct and indirect strategies of AC for SPECT and PET
• Understand and describe the transfer learning strategies for the μ-map generation

The purpose of this CME activity in the Journal of Nuclear Cardiology is to increase the learners’ competence in the application of nuclear cardiology strategies in clinical practice.

Evaluation Deadlines: AMA PRA Category 1 Credits™, ARRT Category A, and Participation Credits = September 14, 2024

The American Society of Nuclear Cardiology is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.



Physicians: The American Society of Nuclear Cardiology designates this Journal-based CME activity for a maximum of 1 AMA PRA Category 1 Credits™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Technologists: The American Society of Nuclear Cardiology is a recognized provider of continuing education credit for technologists. ASNC’s Continuing Education (CE) credit is accepted by both NMTCB and ARRT. This Journal-based activity has been approved for a maximum of 1 ARRT Category A credits for Technologists. 

Release Date: September 15, 2023
Expiration Date: September 14, 2024

ASNC members may claim continuing education credits at no charge. Non-members will be charged $50 per activity.