Document Detail


Patient-adaptive reconstruction and acquisition in dynamic imaging with sensitivity encoding (PARADISE).
MedLine Citation:
PMID:  20665794     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
MRI of the human heart without explicit cardiac synchronization promises to extend the applicability of cardiac MR to a larger patient population and potentially expand its diagnostic capabilities. However, conventional nongated imaging techniques typically suffer from low image quality or inadequate spatio-temporal resolution and fidelity. Patient-Adaptive Reconstruction and Acquisition in Dynamic Imaging with Sensitivity Encoding (PARADISE) is a highly accelerated nongated dynamic imaging method that enables artifact-free imaging with high spatio-temporal resolutions by utilizing novel computational techniques to optimize the imaging process. In addition to using parallel imaging, the method gains acceleration from a physiologically driven spatio-temporal support model; hence, it is doubly accelerated. The support model is patient adaptive, i.e., its geometry depends on dynamics of the imaged slice, e.g., subject's heart rate and heart location within the slice. The proposed method is also doubly adaptive as it adapts both the acquisition and reconstruction schemes. Based on the theory of time-sequential sampling, the proposed framework explicitly accounts for speed limitations of gradient encoding and provides performance guarantees on achievable image quality. The presented in-vivo results demonstrate the effectiveness and feasibility of the PARADISE method for high-resolution nongated cardiac MRI during short breath-hold.
Authors:
Behzad Sharif; J Andrew Derbyshire; Anthony Z Faranesh; Yoram Bresler
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  64     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-28     Completed Date:  2011-01-04     Revised Date:  2011-08-03    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  501-13     Citation Subset:  IM    
Affiliation:
Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA. sharif@illinois.edu
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms*
Female
Heart / anatomy & histology*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Imaging / methods*
Male
Middle Aged
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Comments/Corrections

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


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