Document Detail


Assessment of myocardial blood flow (MBF) in humans using arterial spin labeling (ASL): feasibility and noise analysis.
MedLine Citation:
PMID:  19672944     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Arterial spin labeling (ASL) is a powerful tool for the quantitative measurement of tissue blood flow, and has been extensively applied to the brain, lungs, and kidneys. ASL has been recently applied to myocardial blood flow (MBF) measurement in small animals; however, its use in humans is limited by inadequate signal-to-noise ratio (SNR) efficiency and timing restrictions related to cardiac motion. We present preliminary results demonstrating MBF measurement in humans, using cardiac-gated flow-sensitive alternating inversion recovery (FAIR) tagging and balanced steady-state free precession (SSFP) imaging at 3T, and present an analysis of thermal and physiological noise and their impact on MBF measurement error. Measured MBF values in healthy volunteers were 1.36 +/- 0.40 ml/ml/min at rest, matching the published literature based on quantitative (13)N-ammonia positron emission tomography (PET), and increased by 30% and 29% with passive leg elevation and isometric handgrip stress, respectively. With thermal noise alone, MBF can be quantified to within +/- 0.1 ml/ml/min with 85.5% confidence, for 3.09 cm(3) regions averaged over 6 breath-holds. This study demonstrates the feasibility of quantitative assessment of myocardial blood flow in humans using ASL, and identifies SNR improvement and the reduction of physiological noise as key areas for future development.
Authors:
Zungho Zun; Eric C Wong; Krishna S Nayak
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  62     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2009 Oct 
Date Detail:
Created Date:  2009-10-05     Completed Date:  2010-01-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  975-83     Citation Subset:  IM    
Copyright Information:
(c) 2009 Wiley-Liss, Inc.
Affiliation:
Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California 90089-2564, USA. zun@usc.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Coronary Circulation / physiology*
Feasibility Studies
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Angiography / methods*
Myocardial Perfusion Imaging / methods*
Reproducibility of Results
Sensitivity and Specificity
Spin Labels
Chemical
Reg. No./Substance:
0/Spin Labels

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


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