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Correcting magnetic resonance k ‐space data for in‐plane motion using an optical position tracking system
Author(s) -
Marxen M.,
Marmurek J.,
Baker N.,
Graham S. J.
Publication year - 2009
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3254189
Subject(s) - computer vision , imaging phantom , rotation (mathematics) , tracking (education) , position (finance) , translation (biology) , artificial intelligence , match moving , computer science , motion (physics) , image quality , k space , magnetic resonance imaging , image plane , image resolution , motion estimation , optics , physics , image (mathematics) , psychology , medicine , pedagogy , biochemistry , chemistry , finance , radiology , messenger rna , economics , gene
Purpose : Motion is a major confound of image quality in MRI. A method of retrospectively correcting the effects of rotations and translations on the acquired k ‐space data is presented. Methods: In two phantom experiments of well‐controlled translation and rotation, two MRI‐compatible infrared cameras recorded motion data that were used subsequently to correct the position and phase of recorded k ‐space samples. Motion data can be acquired with a temporal resolution of 60 Hz and spatial accuracy of 0.1 mm for translations and 0.2° for rotations. Results: Significant improvements of image quality are demonstrated. Conclusions: The key advantages of the technique are that it is easy to implement, does not interfere with or complicate MR data acquisition, and is capable of correcting distortions within a single slice. Therefore, the technique has the potential to improve upon approaches that rely on the registration or realignment of successive imaging slices.