Conference proceeding
Fully automated endocardial contour detection in time sequences of echocardiograms by active appearance motion models
Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287), pp.93-96
2001
DOI: 10.1109/CIC.2001.977599
Abstract
A novel fully automated border detection technique for phase-normalized echocardiographic image sequences is developed: Active Appearance-Motion Models (AAMM). AAMM finds shape and appearance eigenvariations of the heart over the full cardiac cycle from a set of examples, capturing typical motion patterns. AAMM segments sequences by adjusting eigenvariation coefficients to minimize model-to-target differences. This results in a time-continuous segmentation. The method was applied on 4-chamber sequences from 129 unselected patients, split randomly into training (TRN, n=65) and test set (TST, n=64). In all sequences, an independent expert manually drew endocardial contours (MAN). On TST, fully automated AAMM succeeded in 97% of cases (AUTO) and performed well (average contour distance 3.3 mm, area regression AUTO=0.91 *MAN+1.7 cm/sup 2/, r=0.87). Results outperformed single-frame AAM segmentation and human interobserver variabilities.
Details
- Title: Subtitle
- Fully automated endocardial contour detection in time sequences of echocardiograms by active appearance motion models
- Creators
- J.G Bosch - Leiden UniversityS.C MitchellB.P.F LelieveldtF NijlandO KampM SonkaJ.H.C Reiber
- Resource Type
- Conference proceeding
- Publication Details
- Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287), pp.93-96
- DOI
- 10.1109/CIC.2001.977599
- ISSN
- 0276-6547
- eISSN
- 2325-8853
- Publisher
- IEEE
- Language
- English
- Date published
- 2001
- 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
- 9984186703802771
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