Keywords: Motion Correction, Motion Correction, 3D radial, projection moment, center-of-mass
Motivation: Traditional projection moment analysis in 3D radial MRI failed to get specific rigid-body motion parameters with stationary multichannel coils.
Goal(s): Our goal was to develop a method to extract rigid-body motion parameters directly through projection moment analysis.
Approach: A PCA-based coil compression, together with projection information from different channels were used to estimate rigid-body motion parameters. A recursive least-squares model was used to recursively estimate motion parameters for every single spoke. Simulation and scanning of moving object were performed to demonstrate its capability in brain scan.
Results: The proposed method can correct motion in brain successfully and quickly.
Impact: The proposed method provides an easy, robust, and time-efficient tool for motion correction in brain MRI, which may benefit clinical diagnosis of uncooperative patients like children, in addition to many other applications including extremity MRI.
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