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Automated detection of the left ventricular region in magnetic resonance images by Fuzzy C-Means model

被引：23
作者：
Boudraa, AEO
机构：
[1] Facultée Médecine René Laënnec,Laboratoire de Biophysique
来源：
INTERNATIONAL JOURNAL OF CARDIAC IMAGING | 1997年 / 13卷 / 04期
关键词：
magnetic resonance images; fuzzy sets; optimization; fuzzy clustering; segmentation;
D O I：
10.1023/A:1005755819752
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
A new method for automated detection of the Left Ventricular (LV) region in Magnetic Resonance Imaging is presented. This method is based on the Fuzzy c-Means (FCM) clustering algorithm. The FCM is applied to each static frame of the cardiac cycle to detect the LV region. Delineation of this region is essential in the quantitative analysis of the cardiac function. The effectiveness of the method is demonstrated by application to sequences of cardiac images.
引用
收藏
页码：347 / 355
页数：9
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