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核素心血管造影中左心室感兴趣区的全自动测定。

A fully automated determination of the left ventricular region of interest in nuclear angiocardiography.

作者信息

Goris M L, McKillop J H, Briandet P A

出版信息

Cardiovasc Intervent Radiol. 1981;4(2):117-23. doi: 10.1007/BF02552390.

Abstract

The precise delineation of the left ventricular projection area is an essential part in the quantitative analysis of nuclear angiocardiograms. We have devised an algorithm that permits automation of this step, based on a one-dimensional Laplace operator whose kernel is 2, 2, -2, -4, -2, 2, 2. The operator characteristically enhances "valleys" more than edges and, therefore, favors septal and the valve plane detection. The operator is applied vertically, horizontally, and along both diagonals. Each pass is immediately followed by a local maximum search during which the image resulting from the Laplacian operator is reduced to a binary one, with zeros everywhere except where a local maximum was found along the path of the operator. This resultant image yields a closed "edge" around the left ventricle, even though many structures outside the left ventricle are also delineated. However, the centroid of the ventricle is defined from functional criteria and the region of interest is defined from centroid to first edge. The method has been applied to first-pass and gated studies in anterior and 45 degree left anterior oblique views. In 100 successive cases the ejection fraction obtained automatically was compared to the manual result. The regression equation yielded the relation: automatic method (%) = 1.7 + 1.0 manual method (%) +/-2% (r = 0.995), which is not significantly different from the identity relation. The failure rate was low (13%) but varied from 28% in the first-pass studies in the anterior view, to less than 8% in gated studies in the left ventricular oblique projection.

摘要

左心室投影区域的精确描绘是核血管造影定量分析的重要组成部分。我们设计了一种算法,基于核为2, 2, -2, -4, -2, 2, 2的一维拉普拉斯算子,可实现这一步骤的自动化。该算子对“谷”的增强作用大于对边缘的增强作用,因此有利于室间隔和瓣膜平面的检测。该算子沿垂直、水平以及两条对角线方向应用。每次应用后紧接着进行局部最大值搜索,在此过程中,拉普拉斯算子生成的图像被转换为二值图像,除了在算子路径上找到局部最大值的位置外,其余各处均为零。尽管左心室外部的许多结构也被描绘出来,但由此产生的图像会在左心室周围形成一个封闭的“边缘”。然而,心室的质心是根据功能标准定义的,感兴趣区域是从质心到第一条边缘定义的。该方法已应用于前位和左前斜45度的首次通过和门控研究。在100例连续病例中,将自动获得的射血分数与手动测量结果进行了比较。回归方程得出的关系为:自动测量法(%)= 1.7 + 1.0×手动测量法(%)±2%(r = 0.995),这与恒等关系无显著差异。失败率较低(13%),但在前位首次通过研究中为28%,在左心室斜位投影的门控研究中则低于8%。

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