Document Detail


Quantification of regional myocardial perfusion using semiautomated translation-free analysis of contrast-enhanced power modulation images.
MedLine Citation:
PMID:  12574737     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Quantitative analysis of myocardial perfusion is currently based on manual tracing and frame-by-frame realignment of regions of interest. We developed a technique for semiautomated identification of myocardial regions from power modulation images as a potential tool for quantification of myocardial contrast enhancement. This approach was tested in 13 anesthetized pigs during continuous intravenous infusion of contrast at baseline, left anterior descending coronary artery occlusion, and reperfusion. Regional pixel intensity was calculated for each consecutive end-systolic frame after a high-energy ultrasound impulse, and fitted with an exponential function. Perfusion defects caused by occlusion of left anterior descending coronary artery were confirmed by a significant decrease in both postimpulse steady-state intensity and the initial rate of contrast replenishment (P <.05), which were reversed with reperfusion. Automated measurements of myocardial intensity correlated highly with conventional manual tracing (r = 0.90 to 0.97), and resulted in improved signal-to-noise ratios. This technique allows translation-free quantification of regional myocardial perfusion, without the need for manual tracing.
Authors:
Enrico G Caiani; Roberto M Lang; Serena Caslini; Keith A Collins; Claudia E Korcarz; Victor Mor-Avi
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography     Volume:  16     ISSN:  0894-7317     ISO Abbreviation:  J Am Soc Echocardiogr     Publication Date:  2003 Feb 
Date Detail:
Created Date:  2003-02-07     Completed Date:  2003-05-15     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8801388     Medline TA:  J Am Soc Echocardiogr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  116-23     Citation Subset:  IM    
Affiliation:
Noninvasive Cardiac Imaging Laboratory, University of Chicago, USA. caiani@biomed.polimi.it
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Feasibility Studies
Image Enhancement*
Image Processing, Computer-Assisted / methods*
Myocardium / metabolism*
Swine

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


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