Document Detail


Anisotropic field-of-view shapes for improved PROPELLER imaging.
MedLine Citation:
PMID:  18818039     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction (PROPELLER) method for magnetic resonance imaging data acquisition and reconstruction has the highly desirable property of being able to correct for motion during the scan, making it especially useful for imaging pediatric or uncooperative patients and diffusion imaging. This method nominally supports a circular field of view (FOV), but tailoring the FOV for noncircular shapes results in more efficient, shorter scans. This article presents new algorithms for tailoring PROPELLER acquisitions to the desired FOV shape and size that are flexible and precise. The FOV design also allows for rotational motion which provides better motion correction and reduced aliasing artifacts. Some possible FOV shapes demonstrated are ellipses, ovals and rectangles, and any convex, pi-symmetric shape can be designed. Standard PROPELLER reconstruction is used with minor modifications, and results with simulated motion presented confirm the effectiveness of the motion correction with these modified FOV shapes. These new acquisition design algorithms are simple and fast enough to be computed for each individual scan. Also presented are algorithms for further scan time reductions in PROPELLER echo-planar imaging (EPI) acquisitions by varying the sample spacing in two directions within each blade.
Authors:
Peder E Z Larson; Michael S Lustig; Dwight G Nishimura
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2008-09-24
Journal Detail:
Title:  Magnetic resonance imaging     Volume:  27     ISSN:  1873-5894     ISO Abbreviation:  Magn Reson Imaging     Publication Date:  2009 May 
Date Detail:
Created Date:  2009-04-06     Completed Date:  2009-06-24     Revised Date:  2014-03-19    
Medline Journal Info:
Nlm Unique ID:  8214883     Medline TA:  Magn Reson Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  470-9     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Anisotropy
Artificial Intelligence
Brain / anatomy & histology*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Imaging / instrumentation,  methods*
Pattern Recognition, Automated / methods*
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Grant Support
ID/Acronym/Agency:
1R01 EB 002524/EB/NIBIB NIH HHS; 2R01 HL 39297/HL/NHLBI NIH HHS; R01 EB002524/EB/NIBIB NIH HHS; R01 EB002524-05/EB/NIBIB NIH HHS; R01 EB002524-06A2/EB/NIBIB NIH HHS
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