期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：2
出版社：IJCSI Press
摘要：Automatic left ventricle segmentation plays an important role in the evaluation of cardiac function. In this paper, we proposed a method for segmenting the left ventricle cavity by applying pixel classification method. In this method, we used different features (i.e. the output of median filter, the gradient magnitude, the largest eigenvalues, and the gray value), and the principal component analysis (PCA) in building the feature vectors used with the KNN classifier in the segmentation of the LV cavity. We evaluated our method by sensitivity, and specificity, and we achieved good results in the segmentation process reached to 95.61% sensitivity, and 98.9% specificity .
关键词：Cardiac MRI; Left Ventricle; Pixel Classification; Segmentation
