Blind Sparse Motion MRI with Linear Subpixel Interpolation
Vital and spontaneous motion causes major artifacts in MRI. In this paper a method is presented which reduces subpixel motion artifacts via computational post processing on a complete MR scan without additional data. On the compressed sparse MRI representation, translational subpixel motion is estimated iteratively from a fully sampled, but motion corrupted k-space, and motion free images are reconstructed by linear interpolation. Motion adjusted results are presented for the Shepp-Logan phantom and brainweb data.
KeywordsMotion Estimation Compress Sensing Motion Correction Image Domain Human Brain Image
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