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TSE with average‐specific phase encoding ordering for motion detection and artifact suppression
Author(s) -
Zhang Ling,
Kholmovski Eugene G.,
Guo Junyu,
Parker Dennis L.
Publication year - 2007
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.20908
Subject(s) - artifact (error) , encoding (memory) , phase (matter) , computer science , pattern recognition (psychology) , artificial intelligence , physics , quantum mechanics
Purpose To detect motion‐corrupted measurements in multiaverage turbo‐spin‐echo (TSE) acquisitions and reduce motion artifacts in reconstructed images. Materials and Methods An average‐specific phase encoding (PE) ordering scheme was developed for multiaverage TSE sequences in which each echo train is assigned a unique PE pattern for each preaveraged image (PAI). A motion detection algorithm is developed based on this new PE ordering to identify which echo trains in which PAIs are motion‐corrupted. The detected PE views are discarded and replaced by uncorrupted k‐space data of the nearest PAI. Both phantom and human studies were performed to investigate the effectiveness of motion artifact reduction using the proposed method. Results Motion‐corrupted echo trains were successfully detected in all phantom and human experiments. Significant motion artifact suppression has been achieved for most studies. The residual artifacts in the reconstructed images are mainly caused by residual inconsistencies that remain after the corrupted k‐space data is corrected. Conclusion The proposed method combines a novel data acquisition scheme, a robust motion detection algorithm, and a simple motion correction algorithm. It is effective in reducing motion artifacts for images corrupted by either bulk motion or local motion that occasionally happens during data acquisition. J. Magn. Reson. Imaging 2007;25:1271–1282. © 2007 Wiley‐Liss, Inc.