Fully automated endocardial contour detection in time sequences of echocardiograms by active appearance motion models

被引:8
作者
Bosch, JG [1 ]
Mitchell, SC [1 ]
Lelieveldt, BPF [1 ]
Nijland, F [1 ]
Kamp, O [1 ]
Sonka, M [1 ]
Reiber, JHC [1 ]
机构
[1] Leiden Univ, Med Ctr, Div Image Proc, Dept Radiol, NL-2300 RC Leiden, Netherlands
来源
COMPUTERS IN CARDIOLOGY 2001, VOL 28 | 2001年 / 28卷
关键词
D O I
10.1109/CIC.2001.977599
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
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 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 unselecied 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 2 3.3 mm, area regression AUTO = 0.91*MAN + 17 cm, r = 0.87). Results outperformed single-frame AAM segmentation and human interobserver variabilities.
引用
收藏
页码:93 / 96
页数:4
相关论文
共 3 条
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Sonka, M ;
Reiber, JHC .
MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 2001, 4322 :257-268
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Mitchell, SC ;
Lelieveldt, BPF ;
van der Geest, RJ ;
Bosch, HG ;
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Sonka, M .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (05) :415-423