Document Detail


TSE with average-specific phase encoding ordering for motion detection and artifact suppression.
MedLine Citation:
PMID:  17520734     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: To detect motion-corrupted measurements in multi-average 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 multi-average TSE sequences in which each echo train is assigned a unique PE pattern for each pre-averaged 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.
Authors:
Ling Zhang; Eugene G Kholmovski; Junyu Guo; Dennis L Parker
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Journal of magnetic resonance imaging : JMRI     Volume:  25     ISSN:  1053-1807     ISO Abbreviation:  J Magn Reson Imaging     Publication Date:  2007 Jun 
Date Detail:
Created Date:  2007-05-28     Completed Date:  2007-08-10     Revised Date:  2007-12-03    
Medline Journal Info:
Nlm Unique ID:  9105850     Medline TA:  J Magn Reson Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1271-82     Citation Subset:  IM    
Copyright Information:
(c) 2007 Wiley-Liss, Inc.
Affiliation:
Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, USA. lzhang@ucair.med.utah.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artifacts*
Brain Mapping / methods*
Computer Simulation
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging / methods*
Motion
Phantoms, Imaging
Grant Support
ID/Acronym/Agency:
HL 57990/HL/NHLBI NIH HHS; R01 HL 48223/HL/NHLBI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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