Fully automated endocardial contour detection in time sequences of echocardiograms by active appearance motion models
作者： J.G. Bosch , S.C. Mitchell , B.P.F. Lelieveldt , F. Nijland , O. Kamp
关键词:
摘要: 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 full cardiac cycle from a set examples, capturing typical motion patterns. segments by adjusting eigenvariation coefficients to minimize model-to-target differences. This results in time-continuous segmentation. The method was applied on 4-chamber 129 unselected patients, split randomly into training (TRN, n=65) test (TST, n=64). In all sequences, an independent expert manually drew endocardial contours (MAN). On TST, succeeded 97% cases (AUTO) 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 human interobserver variabilities.
sci-hub.se 参考文章(3)
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