Motion-Corrected Reconstruction in CMR
Christopher W Roy1
1Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland

Synopsis

Image quality in cardiovascular magnetic resonance imaging (CMR) is highly dependent on the methods used to compensate for both cardiac and respiratory motion. Additionally, in non-cooperative patients, especially in pediatrics, bulk patient movement can significantly degrade image quality. As a result, motion correction strategies for CMR make up a complex and on-going field of research. This talk will provide an overview of both well established and emerging directions for technologies that can provide high quality images of the heart despite the presence of motion during the examination.

Target Audience

Scientist and clinicians who are interested in obtaining a basic technical understanding of motion correction strategies for CMR, and how they can be leveraged to improve the ease-of-use, scanning efficiency, and overall scan time in CMR exams.

Syllabus

This lecture will briefly cover the following topics:
• Review of the requirements, and challenges of motion corrected CMR for both two-dimensional and three-dimensional acquisitions
• Introduction to conventional methods for motion compensation including cardiac gating and respiratory navigation
• Overview of strategies for estimating and correcting motion including navigator-based methods, image registration, and artificial intelligence approaches
• Overview of the impact of motion correction on image quality and scan time
• Discussion of the challenges of using motion correction in clinical practice including image reconstruction overhead
• Discussion of emerging methods for motion corrected CMR

Takeaway Messages

Following this lecture, participants should be able to:
• Describe the fundamental differences between conventional motion compensation and emerging methods for motion correction CMR
• Understand the basic technical components of motion correction strategies and how they relate to image quality, scan time, and image reconstruction time

Acknowledgements

No acknowledgement found.

References

No reference found.
Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)