利用各向异性滤波和主动轮廓算法对超声造影左心室进行跟踪

M. Morales, V. Positano, O. Rodriguez, M. Passera, M. Lombardi, D. Rovai
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引用次数: 3

摘要

对比剂联合二次谐波成像改善了超声图像中的心内膜边界检测。本研究的目的是评估基于梯度矢量流(GVF)主动轮廓算法分割后的非线性各向异性滤波能否应用于对比回波图像的左室(LV)轮廓自动检测。20例患者在静脉注射造影剂Levovist后,通过电影磁共振(MR)和经胸二次谐波回波测量左室体积。对对比回波图像进行人工和自动分析;自动分析MR图像。根据辛普森法则计算左室体积。手动左室容积与MR容积有良好的相关性(舒张末期和收缩期末期容积分别为0.93和0.92,p < 0.05)。两个阶段的自动评估体积仍然有很好的相关性(r=。90和.91,p< 0.05)。因此,利用各向异性滤波和基于梯度矢量流场的主动轮廓算法在对比回波图像上自动划分心内膜边界是可行的。该方法可能是超声成像中心内膜边界自动分析的一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking of the left ventricle in contrast enhanced echocardiography by anisotropic filtering and active contours algorithm
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.
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