Document Detail


Improved self-calibrated spiral parallel imaging using JSENSE.
MedLine Citation:
PMID:  19027339     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Spiral MRI has several advantages over Cartesian MRI such as faster acquisitions and reduced demand in gradient. In parallel imaging, spiral trajectories are especially of great interest due to their inherent self-calibration capabilities, which is especially useful for dynamic imaging applications such as fMRI and cardiac imaging. The existing self-calibration techniques use the central spiral data that are sampled densely in the accelerated acquisition for coil sensitivity estimation. However, the resulting sensitivities are not sufficiently accurate for SENSE reconstruction due to the data truncation. In this paper, JSENSE which has been successfully used in Cartesian trajectories is extended to spiral trajectory such that the coil sensitivities and the desired image are reconstructed jointly to improve accuracy through alternating optimization. The improved sensitivities lead to a more accurate SENSE reconstruction. The results from both phantom and in vivo data are shown to demonstrate the effectiveness of JSENSE for spiral trajectory.
Authors:
Jinhua Sheng; Erik Wiener; Bo Liu; Fernando Boada; Leslie Ying
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2008-11-21
Journal Detail:
Title:  Medical engineering & physics     Volume:  31     ISSN:  1873-4030     ISO Abbreviation:  Med Eng Phys     Publication Date:  2009 Jun 
Date Detail:
Created Date:  2009-05-20     Completed Date:  2009-07-27     Revised Date:  2010-09-23    
Medline Journal Info:
Nlm Unique ID:  9422753     Medline TA:  Med Eng Phys     Country:  England    
Other Details:
Languages:  eng     Pagination:  510-4     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee, 3200N. Cramer Street, Milwaukee, WI 53211, United States.
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MeSH Terms
Descriptor/Qualifier:
Calibration
Image Processing, Computer-Assisted
Magnetic Resonance Imaging / methods*
Phantoms, Imaging
Sensitivity and Specificity
Grant Support
ID/Acronym/Agency:
5R01CA098717-04/CA/NCI NIH HHS; R01 CA098717-04/CA/NCI NIH HHS
Comments/Corrections

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