Journal article
Automated myocardial edge detection on MR images: Accuracy in consecutive subjects
Journal of magnetic resonance imaging, Vol.3(5), pp.738-741
09/1993
DOI: 10.1002/jmri.1880030508
PMID: 8400559
Abstract
The authors previously demonstrated the feasibility of graph-searching-based automated edge detection in cardiac magnetic resonance (MR) imaging. To further assess the clinical utility of this method, unselected images from 11 consecutive subjects undergoing clinically indicated (except for one healthy volunteer) short-axis spin-echo MR imaging were analyzed. A total of 142 images from the 11 subjects, encompassing the left ventricle from apex to outflow tract, were analyzed. The computer algorithm correctly identified complete endocardial and epicardial contours in 121 of 142 images (85%). Correlations between observer-traced and computer-derived epicardial areas for all images were good (r = .71 for epicardium, r = .83 for endocardium); they improved for a subset of higher-quality images (r = .82 for epicardium, r = .92 for endocardium). The authors conclude that the current data further support the usefulness of computer digital image processing in geometric analysis of cardiac MR image data.
Details
- Title: Subtitle
- Automated myocardial edge detection on MR images: Accuracy in consecutive subjects
- Creators
- Steven R Fleagle - University of IowaDaniel R Thedens - University of IowaWilliam Stanford - University of IowaBrad H Thompson - University of IowaJohn M Weston - University of IowaPranav P Patel - University of IowaDavid J Skorton - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of magnetic resonance imaging, Vol.3(5), pp.738-741
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company
- DOI
- 10.1002/jmri.1880030508
- PMID
- 8400559
- ISSN
- 1053-1807
- eISSN
- 1522-2586
- Number of pages
- 4
- Language
- English
- Date published
- 09/1993
- Academic Unit
- Radiology; Electrical and Computer Engineering
- Record Identifier
- 9984197917102771
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