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Timely-Automatic Procedure for Estimating the Endocardial Limits of the Left Ventricle Assessed Echocardiographically in Clinical Practice

机译:实时自动程序以超声心动图评估临床实践中评估的左室心内膜界限

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摘要

In this paper, we propose an analytical rapid method to estimate the endocardial borders of the left ventricular walls on echocardiographic images for prospective clinical integration. The procedure was created as a diagnostic support tool for the clinician and it is based on the use of the anisotropic generalized Hough transform. Its application is guided by a Gabor-like filtering for the approximate delimitation of the region of interest without the need for computing further anatomical characteristics. The algorithm is applying directly a deformable template on the predetermined filtered region and therefore it is responsive and straightforward implementable. For accuracy considerations, we have employed a support vector machine classifier to determine the confidence level of the automated marking. The clinical tests were performed at the Cardiology Clinic of the County Emergency Hospital Timisoara and they improved the physicians perception in more than 50% of the cases. The report is concluded with medical discussions.
机译:在本文中,我们提出了一种分析快速方法来估计超声心动图图像上左心室壁的心内膜边界,以进行前瞻性临床整合。该程序是作为临床医生的诊断支持工具而创建的,它是基于各向异性广义Hough变换的使用。它的应用由类似Gabor的滤波指导,用于感兴趣区域的近似定界,而无需计算其他解剖特征。该算法将可变形模板直接应用到预定的已过滤区域上,因此它是响应式且可直接实现的。出于准确性考虑,我们采用了支持向量机分类器来确定自动标记的置信度。临床测试是在蒂米什瓦拉县急诊医院的心脏病学诊所进行的,在超过50%的病例中,它们改善了医生的知觉。该报告以医学讨论结束。

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