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Abstract #3661

Clinical Implementation of Fast Markerless Motion Correction in K-Space of Structural 3D MR-Images of the Brain

Jakob Slipsager1,2,3, Stefan Glimberg2, Daniel Gallichan4, Liselotte Højgaard3, Rasmus Paulsen1, and Oline Olesen1,2

1DTU Compute, Technical University of Denmark, Lyngby, Denmark, 2Tracinnovations, Ballerup, Denmark, 3Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen, Denmark, 4CUBRIC School of Engineering, Cardiff University, Cardiff, United Kingdom

This work demonstrates retrospective motion correction using a markerless motion tracker to accommodate the needs in the clinical workflow. Motion degradation in neurological MRI imaging is a major concern and causes increased study time and cost due to repeated scans and the need for sedation or anesthesia. With retrospective motion correction of raw k-space data, both the corrected and non-corrected images can be reconstructed and presented for the radiologists within a few minutes. The external markerless motion tracker is sequence independent meaning that retrospective motion correction can be applied to clinical examination without sequence modification or added scan time.

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