Journal article
Multicenter trial of automated border detection in cardiac MR imaging
Journal of magnetic resonance imaging, Vol.3(2), pp.409-415
03/1993
DOI: 10.1002/jmri.1880030217
PMID: 8448404
Abstract
The purpose of the present study was to evaluate the robustness of a method of automated border detection in cardiac magnetic resonance (MR) imaging. Thirty-seven short-axis spin-echo cardiac images were acquired from three medical centers, each with its own image-acquisition protocol. Endo- and epicardial borders and areas were derived from these images with a graph-searching-based method of edge detection. Computer results were compared with observer-traced borders. The method accurately defined myocardial borders in 36 of 37 images (97%), with excellent agreement between computer- and observer-derived endocardial and epicardial areas (correlation coefficients, .94-.99). The algorithm worked equally well for data from all three centers, despite differences in image-acquisition protocols, MR systems, and field strengths. These data suggest that a method of computer-assisted edge detection based on graph-searching principles yields endocardial and epicardial areas that correlate well with those derived by an independent observer.
Details
- Title: Subtitle
- Multicenter trial of automated border detection in cardiac MR imaging
- Creators
- Steven R Fleagle - University of IowaDaniel R Thedens - University of IowaWilliam Stanford - University of IowaRoderic I Pettigrew - Emory UniversityNathaniel Reichek - University of PennsylvaniaDavid J Skorton - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of magnetic resonance imaging, Vol.3(2), pp.409-415
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company
- DOI
- 10.1002/jmri.1880030217
- PMID
- 8448404
- ISSN
- 1053-1807
- eISSN
- 1522-2586
- Number of pages
- 7
- Language
- English
- Date published
- 03/1993
- Academic Unit
- Radiology; Electrical and Computer Engineering
- Record Identifier
- 9984197910902771
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