Journal article
Robust simultaneous detection of coronary borders in complex images
IEEE transactions on medical imaging, Vol.14(1), pp.151-161
1995
DOI: 10.1109/42.370412
PMID: 18215820
Abstract
Visual estimation of coronary obstruction severity from angiograms suffers from poor inter- and intraobserver reproducibility and is often inaccurate. In spite of the widely recognized limitations of visual analysis, automated methods have not found widespread clinical use, in part because they too frequently fail to accurately identify vessel borders. The authors have developed a robust method for simultaneous detection of left and right coronary borders that is suitable for analysis of complex images with poor contrast, nearby or overlapping structures, or branching vessels. The reliability of the simultaneous border detection method and that of the authors' previously reported conventional border detection method were tested in 130 complex images, selected because conventional automated border detection might be expected to fail. Conventional analysis failed to yield acceptable borders in 65/130 or 50% of images. Simultaneous border detection was much more robust (p<.001) and failed in only 15/130 or 12% of complex images. Simultaneous border detection identified stenosis diameters that correlated significantly better with observer-derived stenosis diameters than did diameters obtained with conventional border detection (p<0.001), Simultaneous detection of left and right coronary borders is highly robust and has substantial promise for enhancing the utility of quantitative coronary angiography in the clinical setting.
Details
- Title: Subtitle
- Robust simultaneous detection of coronary borders in complex images
- Creators
- Milan Sonka - Univ. Iowa, dep. electrical computer eng., Iowa City IA 52242, United StatesMichael D Winniford - Univ. Iowa, dep. electrical computer eng., Iowa City IA 52242, United StatesSteve M Collins - Univ. Iowa, dep. electrical computer eng., Iowa City IA 52242, United States
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.14(1), pp.151-161
- DOI
- 10.1109/42.370412
- PMID
- 18215820
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers; New York, NY
- Language
- English
- Date published
- 1995
- 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
- 9984046914502771
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