MRI: Scanning in the Age of Fast MR - Learning to Scan with More SNR

MRI is evolving rapidly as AI Reconstruction and Deep Learning Reconstruction technologies enable faster scan times and higher image quality than ever before. This presentation introduces the principles behind these emerging reconstruction methods and their impact on signal-to-noise ratio (SNR), image quality, and workflow efficiency. Participants will learn practical strategies for optimizing protocols, balancing speed and diagnostic quality, and adapting traditional MRI scanning techniques to take full advantage of the latest AI-driven technologies.

Learning Objectives

  1. Explain deep learning reconstruction techniques and identify at least three key benefits they provide in practical applications.
  2. Compare and contrast the various deep learning reconstruction techniques offered by Siemens, GE, Fujifilm, Philips, Canon, and United.
  3. Apply best practices for utilizing deep learning reconstruction techniques effectively in imaging processes.
  4. Explain the artifacts and image changes that can arise from deep learning reconstruction and parallel imaging.
     

Course summary

Available credit: 
  • 1.00 AHRA CRA Credit
  • 1.00 ARRT Category A CE Credit
Course opens: 
10/01/2026
Course expires: 
09/30/2027
CE Club cost:
$0.00
CE Club cost:
$0.00
Cost:
$0.00
Rating: 
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Monte Hampton, RTR (MR)(MRSO) 

Radiologic Technologists
This course has been approved for one (1.0) ARRT Category A CE credit(s) by AHRA.

Radiology Administrators
This course meets all CRA renewal credit criteria and has been approved for one (1.0) continuing education credit in the following CRA domain(s): Operations Management (OM). 
 

Available Credit

  • 1.00 AHRA CRA Credit
  • 1.00 ARRT Category A CE Credit

Price

CE Club cost:
$0.00
CE Club cost:
$0.00
Cost:
$0.00
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