Synopsis

Keywords: Image acquisition: Motion correction

In this talk, we explore the latest research on advanced motion correction techniques in MRI imaging. We'll discuss innovative strategies to reduce motion artifacts and improve image quality. By reviewing recent developments and upcoming technologies, we aim to shed light on the future possibilities and challenges in MRI motion correction.

Objectives

The three objectives for this talk are:
1) Understand the principles and mechanisms behind advanced motion correction techniques in MRI, including the utilization of navigator signals, prospective and retrospective correction methods, and deep learning-based approaches.
2) Learn how advanced motion correction algorithms can significantly reduce motion artifacts in MRI scans, leading to improved image quality, increased diagnostic accuracy, and better patient outcomes.
3) Gain insights into the future directions of motion correction research in MRI, including potential advancements in real-time motion tracking, adaptive correction strategies, and integration with other imaging modalities for comprehensive patient assessments.

Acknowledgements

No acknowledgement found.

References

No reference found.