Motion Correction
Sunrise Course
ORGANIZERS: Durgesh Dwivedi, Houchun Hu, Sonal Krishan
Monday, 12 May 2025
316B
07:00 -
08:00
Moderators: Onur Afacan & Michael Ohliger
Skill Level: Intermediate
Session Number: S-M-01
No CME/CE Credit
Session Number: S-M-01
Overview
Physiological and patient motion during an MRI exam is an ongoing issue that radiographers must contend with daily. The purpose of this session is to provide the audience with a review of existing retrospective and prospective motion correction algorithms and pulse sequences used in clinical body MRI. Additionally, advanced hardware and techniques to detect, characterize, and model motion will be discussed.
Target Audience
medical physicists, radiologists and other healthcare professionals interested in motion correction.
Educational Objectives
As a result of attending this course, participants should be able to:
• Identify the common causes of motion-induced artifacts in body MRI;
• List the common approaches employed to mitigate motion in clinical body MRI; and
• Describe advanced algorithms and hardware in research to target motion in body MRI.
| 07:00 | | Basic to Advanced Motion Correction Methods in Body MRI: A Clinical Perspective (How Do I Do It) Hersh Chandarana |
| 07:15 | | Advanced Motion Correction Methods for Abdominal & Body MRI, A Technical Perspective Nathan Artz |
| 07:30 | | AI-Driven Motion Correction in Body MRI Ricardo Otazo Keywords: Image acquisition: Motion correction, Image acquisition: Machine learning, Body: Body Artificial intelligence (AI) provides powerful tools to improve motion tolerance in body MRI, including prospective motion correction during acquisition and retrospective motion correction during reconstruction. The enhanced image processing capabilities of AI can map motion distorted images to clean images or improve auto-navigation and motion-resolved reconstruction for overall higher image quality in the presence of motion without the need for breath-holds or longer gated scans. This lecture will review the main AI technology for motion correction in body MRI. |
| 07:45 | | Exploiting Motion Beyond Correction: Challenges & Opportunities Melissa Haskell |