Document Detail

Real-time 3D fusion echocardiography.
MedLine Citation:
PMID:  20633845     Owner:  NLM     Status:  MEDLINE    
OBJECTIVES: This study assessed 3-dimensional fusion echocardiography (3DFE), combining several real-time 3-dimensional echocardiography (RT3DE) full volumes from different transducer positions, for improvement in quality and completeness of the reconstructed image.
BACKGROUND: The RT3DE technique has limited image quality and completeness of datasets even with current matrix transducers.
METHODS: RT3DE datasets were acquired in 32 participants (mean age 33.7 +/- 18.8 years; 27 men, 5 women). The 3DFE technique was also performed on a cardiac phantom. The endocardial border definition of RT3DE and 3DFE segments was graded for quality: good (2), intermediate (1), poor (0), or out of sector. Short-axis and apical images were compared in RT3DE and 3DFE, yielding 2,048 segments. The images were processed to generate 3DFE and then compared with cardiac magnetic resonance.
RESULTS: In the heart phantom, fused datasets showed improved contrast to noise ratio from 49.4 +/- 25.1 (single dataset) to 125.4 +/- 25.1 (6 datasets fused together). In subjects, more segments were graded as good quality with 3DFE (805 vs. 435; p < 0.0001) and fewer as intermediate (184 vs. 283; p = 0.017), poor (31 vs. 265; p < 0.0001), or out of sector (4 vs. 41; p < 0.001) compared with the single 3-dimensional dataset. End-diastolic volume (EDV) and end-systolic volume (ESV) obtained from 3-dimensional fused datasets were equivalent to those from single datasets (EDV 118.2 +/- 39 ml vs. 119.7 +/- 43 ml; p = 0.41; ESV 48.1 +/- 30 ml vs. 48.4 +/- 35 ml; p = 0.87; ejection fraction [EF] 61.0 +/- 10% vs. 61.8 +/- 10%; p = 0.44). Bland-Altman analysis showed good 95% limits of agreement for the nonfused datasets (EDV +/-46 ml; ESV +/-36 ml; EF +/-14%) and the fused datasets (EDV +/-45 ml; ESV +/-35 ml; EF +/-16%), when compared with cardiac magnetic resonance.
CONCLUSIONS: Fusion of full-volume datasets resulted in an improvement in endocardial borders, image quality, and completeness of the datasets.
Cezary Szmigielski; Kashif Rajpoot; Vicente Grau; Saul G Myerson; Cameron Holloway; J Alison Noble; Richard Kerber; Harald Becher
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  JACC. Cardiovascular imaging     Volume:  3     ISSN:  1876-7591     ISO Abbreviation:  JACC Cardiovasc Imaging     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-07-16     Completed Date:  2010-11-02     Revised Date:  2011-04-29    
Medline Journal Info:
Nlm Unique ID:  101467978     Medline TA:  JACC Cardiovasc Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  682-90     Citation Subset:  IM    
Copyright Information:
Copyright 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
Department of Cardiovascular Medicine, University of Oxford, Oxford, UK.
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MeSH Terms
Echocardiography, Three-Dimensional* / instrumentation
Heart Diseases / physiopathology,  ultrasonography*
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Middle Aged
Phantoms, Imaging
Pilot Projects
Predictive Value of Tests
Reproducibility of Results
Stroke Volume
Ventricular Function, Left*
Young Adult
Erratum In:
JACC Cardiovasc Imaging. 2011 Mar;4(3):314

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

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