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Abstract #4431

A Radial Based Multi-spatial, Multi-temporal Resolution Aligned Reconstruction Scheme for Accelerated Motion Correction in Brain MRI

Bowen Li1,2 and Huajun She1,2
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, Shanghai Jiao Tong University, Shanghai, China

Synopsis

Keywords: Motion Correction, Motion Correction, 3D radial, self-navigation

Motivation: Joint motion/image optimization in aligned reconstruction can be computationally inefficient; scout-based method uses additionally acquired data to accelerate calculation, which may also be motion-corrupted.

Goal(s): To develop a 3D motion correction method which takes the advantages of both self-navigation and fast calculation.

Approach: A 3D radial acquisition and a multi-temporal, multi-spatial resolution scheme was used to formulate convex motion optimization subproblem. The temporal continuity of motion was introduced to constrain the resulted motion patterns. A motion-informed CS reconstruction was performed for accelerated image reconstruction.

Results: The proposed method achieved joint optimization in 2 joint iterations at time resolution of 0.7s with 7.5x undersampling.

Impact: A flexible and time-efficient method based on aligned reconstruction framework was developed for rigid-body motion correction in accelerated brain MRI, which may be beneficial to the exams of clinical uncooperative patients as well as brain MRI research community.

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Keywords