Blind Retrospective Motion Correction of MR Images

Loktyushin, A.; Nickisch, H.; Pohmann, R; Schölkopf, B

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Blind Retrospective Motion Correction of MR Images

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Loktyushin, A.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Pohmann, R
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Schölkopf, B
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://www.ismrm.org/12/tp_12.htm
(Abstract)

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Citation

Loktyushin, A., Nickisch, H., Pohmann, R., & Schölkopf, B. (2012). Blind Retrospective Motion Correction of MR Images. Poster presented at 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2012), Melbourne, Australia.

Cite as: https://hdl.handle.net/21.11116/0000-0001-9F22-6

Abstract

Patient motion in the scanner is one of the most challenging problems in MRI. We propose a new retrospective motion correction method for which no tracking devices or specialized sequences are required. We seek the motion parameters such that the image gradients in the spatial domain become sparse. We then use these parameters to invert the motion and recover the sharp image. In our experiments we acquired 2D TSE images and 3D FLASH/MPRAGE volumes of the human head. Major quality improvements are possible in the 2D case and substantial improvements in the 3D case.