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Left ventricle segmentation from cardiac cine MRI to detect cardiac abnormalities

机译:来自心脏调生的左心室分割检测心脏异常

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Magnetic Resonance Imaging (MRI) has become one of the most promising technologies for the treatment of cardiac abnormalities. Nowadays, Image processing techniques are widely used in medical field to detect cardiac disorders. In this paper we present a simple and novel algorithm to automatically segment the Left Ventricle (LV) in short axis cardiac cine MRI. The frames of the cine MRI of a pathological and five normal patients are processed using enhancement, thresholding and morphological operations. The variation in the area of the left ventricle is calculated for the entire cardiac cycle for normal and diseased conditions. The pattern of variation in area for abnormal is significantly different from that of normal and hence could be used as a tool for detecting abnormal cardiac motion.
机译:磁共振成像(MRI)已成为治疗心脏异常最有前途的技术之一。如今,图像处理技术广泛用于医疗领域以检测心脏病。在本文中,我们提出了一种简单而新颖的算法,可以在短轴心脏调动器中自动分割左心室(LV)。使用增强,阈值和形态操作处理病理和五个正常患者的调解MRI的框架。针对正常和患病条件的整个心循环计算左心室区域的变化。对于异常区域的变化模式与正常的变化显着不同,因此可以用作检测异常心动的工具。

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