RINGLET motion correction for 3D MRI acquired with the elliptical centric view order

Area of Science:

• Medical Imaging
• Biophysics
• Signal Processing

Background:

• 3D MRI acquisitions are susceptible to rigid-body motion artifacts.
• Elliptical centric (EC) view order acquires k-space data in annular rings.
• Existing motion correction methods may not be compatible with EC view order.

Purpose of the Study:

• To develop and validate a novel rigid-body motion correction algorithm for 3D MRI data acquired with EC view order.
• To enable accurate motion monitoring and correction in real-time during EC acquisitions.
• To demonstrate the feasibility of the algorithm in phantom and volunteer studies.

Main Methods:

• Reconstruction of motion tracking images from k-space data rings acquired with EC view order.
• Utilizing a bull's-eye pattern from point markers (encased in RF coils) for motion detection.
• Application of Euclidean group transformations for direct calculation and correction of rigid-body motion (rotation and translation).
• Correction by rotating and applying phase shifts to corrupted k-space data rings.

Main Results:

• Demonstrated feasibility of the motion correction algorithm through theoretical analysis.
• Successful validation in controlled phantom experiments.
• Positive results from volunteer studies indicating initial efficacy.
• The bull's-eye pattern accurately indicates marker position for motion tracking.

Conclusions:

• The developed algorithm effectively corrects rigid-body motion in 3D MRI datasets acquired with EC view order.
• This method offers real-time motion monitoring and correction capabilities.
• The algorithm is compatible with various 3D MRI applications beyond MR angiography (MRA).