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Tracking of the left ventricle in contrast enhanced echocardiography by anisotropic filtering and active contours algorithm

机译:各向异性滤波和主动轮廓算法跟踪超声造影对比左心室

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Contrast agents together with second harmonic imaging improve endocardial border detection in echo images. Aim of the study was to assess whether non linear anisotropic filtering after segmentation of gradient vector flow (GVF) based active contour algorithm can be applied on contrast echo images for automatic detection of left ventricular (LV) contours. LV volumes were measured in 20 subjects by cine Magnetic Resonance (MR) and transthoracic second harmonic echo after intravenous administration of the contrast agent Levovist. Contrast echo images were analyzed both manually and automatically; MR images were automatically analyzed. LV volumes were calculated according to Simpson's rule. A good correlation with MR volumes was found for manual LV volumes (r.93 and .92 for end diastolic and end systolic volumes, respectively, p >.05). A still good correlation was found for the automatically assessed volumes in both phases (r=.90 and .91, p>05). Thus automatic endocardial border delineation by anisotropic filtering and GVF based active contour algorithm is feasible on contrast echo images. This method may represent an approach for automatic endocardial border analysis in ultrasonic imaging.
机译:造影剂与二次谐波成像一起改善了回声图像中的心内膜边界检测。该研究的目的是评估是否可以将基于梯度矢量流(GVF)的主动轮廓算法分割后的非线性各向异性滤波应用于对比回波图像,以自动检测左心室(LV)轮廓。静脉内注射造影剂Levovist后,通过电影磁共振(MR)和经胸二次谐波回波测量20位受试者的LV体积。手动和自动分析对比回波图像。 MR图像被自动分析。左室容积是根据辛普森法则计算的。发现手动左室容积与MR容积有很好的相关性(舒张末期容积和收缩末期容积分别为r.93和.92,p> .05)。在两个阶段中,自动评估的体积仍具有良好的相关性(r = .90和.91,p> 05)。因此,在对比度回波图像上,通过各向异性过滤和基于GVF的主动轮廓算法自动进行心内膜边界描边是可行的。该方法可以代表用于超声成像中的自动心内膜边界分析的方法。

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