Keywords: Motion Correction, Motion Correction, Navigator, unrolled reconstruction, data consistency
Motivation: Motion is the primary reason for artifacts in MRI.
Goal(s): The proposed method is an attempt at solving motion correction problem for 2D-acquisitions by dropping motion-corrupt sections of k-space to be reconstructed in a fashion similar to under-sampled reconstruction by an unrolled DL framework.
Approach: The estimation of motion-corrupt shots is proposed using: (a) camera tracking, (b) data relationships between channels, (c) navigator shots. Using these methods to find the dominant pose and outlier shots, reconstruction using an unrolled DL network would fill in for the corrupt k-space shots .
Results: The method shows significant motion correction for T1/T2 FSE/FLAIR sequences.
Impact: The proposed solution has the potential to save tens of thousands of dollars per year per scanner. Breaking up the problem into separate sub-problems can be investigated further, along with the various detection methods mentioned.
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