Streaming-MoCo: Real-Time Motion-Compensated Image Reconstruction from 3D Non-Cartesian MRI

Motivation: A real-time motion compensation monitoring system is vital for structural MRI: to assess the effectiveness of motion correction even during k-space data collection, to ensure the rapid delivery of corrected images afterwards.Goal(s): Develop a system that enables real-time: motion-compensation, image reconstruction, and visualization, during k-space data collection. Approach: Introduced a framework that includes online: coil compression, rigid motion-tracking, motion-compensated gridding, image generation/streaming. Tested it at 3T by imaging two volunteers with: no motion, instructed motion. Results: Streaming motion-compensated image reconstructions from 3D radial MRI and the progression of image quality improvements were demonstrated in real-time during k-space data collection. Impact: Our streaming-MoCo framework enables rapid reconstruction of motion-compensated images both during k-space data collection and post scan. This facilitates immediate assessment of image quality during scans, and potentially trigger corrective action well in advance before the scan concludes.