Conference proceeding
Reduction of failure rates in automated analysis of difficult images: improved simultaneous detection of left and right coronary borders
Proceedings Computers in Cardiology, pp.111-114
1992
DOI: 10.1109/CIC.1992.269434
Abstract
A new model-based simultaneous coronary border detection method is reported that uses 3-D graph searching principles and detects borders that are optimal when taken as a pair. The method significantly reduces the failure rate for difficult images while substantially enhancing computational efficiency. It was compared to the conventional border detection method, which has been shown to be accurate for uncomplicated images. The robustness of each method was assessed for 43 difficult images in which conventional analysis was likely to fail. Minimum lumen diameters from the conventional and simultaneous detection methods were highly correlated for uncomplicated images. For difficult images, simultaneous border detection reduced the analysis failure rate from 32/43 to 11/43.< >
Details
- Title: Subtitle
- Reduction of failure rates in automated analysis of difficult images: improved simultaneous detection of left and right coronary borders
- Creators
- M Sonka - University of IowaM.D Winniford - University of IowaS.M Collins - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings Computers in Cardiology, pp.111-114
- DOI
- 10.1109/CIC.1992.269434
- Publisher
- IEEE Comput. Soc. Press
- Language
- English
- Date published
- 1992
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186602102771
Metrics
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