Fast and Generalized Motion Correction in Brain MRI using 3D Radial Trajectory and Projection Moment Analysis

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.