J Fujii, H Sawada, A Okabe, T Aizawa, K Ogasawara, H Watanabe, A Ohta, K Kato, M Onoe, Y Kuno
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Short-axis cross-sectional images of the left ventricle at the levels of the mitral valve (MV), papillary muscles (PM) and the apex (AP) were recorded using a phased array sector scanner in thirty patients with healed myocardial infarction and fifteen normal control subjects. The echocardiographic data were recorded on the video tape and transferred to a minicomputer via interface circuits, digitized, and processed automatically. Each digitized image consisted of 256 X 256 pixels with a gray scale of 256 values. The edges of the endocardial and epicardial walls were detected by applying sequential steps including smoothing, dynamic thresholding, region growing, and filling of small holes. The rationale of edge detection depended on assuming that abrupt changes in gray levels occurred at the boundary, and that the points with maximum gradient values were boundaries of the left ventricular wall. Best-fit contours of endocardial and epicardial edges were drawn by fitting a spline. Besides this automatic edge tracing, endocardial and epicardial edges were also manually traced using a digi-pen system, whose results coincided well with automatic tracings. After detection of edges of endocardial and epicardial walls, the short-axis cross sectional left ventricular wall at each level was divided into eight segments. The geometric center of the end-diastolic left ventricular cavity and the axis connecting this with the posterior end of the right side of the septum was used as the reference point and line (fixed reference system). End-diastolic and end-systolic segmental hemiaxes, segmental area, segmental wall thickness and changes during the cardiac cycle were measured and calculated automatically in each segment using a computer. Regional contractility of the left ventricle was evaluated by percent systolic changes of the segmental hemiaxis, area and wall thickness. 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引用次数: 0
摘要
本研究评估了二维超声心动图对左心室局部收缩力定量和左心室计算机重建的计算机处理;所谓的三维超声心动图。二维超声心动图的计算机分析定量评价心肌梗死左室局部收缩力:提出了一种新的实用的二维超声心动图计算机数字图像处理方法定量评价左室局部收缩力。用相控阵扇形扫描仪记录30例心肌梗死愈合患者和15例正常对照者左心室二尖瓣(MV)、乳头肌(PM)和心尖(AP)水平的短轴横断面图像。超声心动图数据记录在录像带上,并通过接口电路传输到一台小型计算机上,进行数字化和自动处理。每个数字化图像由256 X 256像素组成,灰度为256值。心内膜和心外膜壁的边缘是通过平滑、动态阈值、区域生长和填充小孔来检测的。边缘检测的基本原理依赖于假设灰度值在边界处发生突变,并且梯度值最大的点是左心室壁的边界。通过拟合样条绘制心内膜和心外膜边缘的最佳拟合轮廓。除自动描摹外,心内膜和心外膜的描摹也采用数字笔系统,其结果与自动描摹吻合良好。在心内膜和心外膜壁边缘检测后,将每一水平的左室壁短轴横切面分为8段。以舒张末期左室腔的几何中心及其与右侧室间隔后端连接的轴线为参考点和基准线(固定参考系)。利用计算机自动测量和计算各节段舒张末和收缩末的半轴、节段面积、节段壁厚及在心动周期内的变化。通过左心室半轴、面积和壁厚的收缩百分率来评价左心室的局部收缩能力。这些数值在左心室造影和冠状动脉造影确定的梗死左室壁中显著降低。(摘要删节为400字)
[Computerized processing of two-dimensional echo-cardiograms: its application for quantitating left ventricular regional contractility and three-dimensional echocardiography].
This study assessed the computerized processing of two-dimensional echocardiograms for quantitating left ventricular regional contractility and for computer reconstruction of the left ventricle; so-called three-dimensional echocardiography. Computer analysis of two-dimensional echocardiograms for quantitative evaluations of the left ventricular regional contractility in myocardial infarction: A new practical method for computer digital image processing of two-dimensional echocardiograms was developed for quantitating left ventricular regional contractility. Short-axis cross-sectional images of the left ventricle at the levels of the mitral valve (MV), papillary muscles (PM) and the apex (AP) were recorded using a phased array sector scanner in thirty patients with healed myocardial infarction and fifteen normal control subjects. The echocardiographic data were recorded on the video tape and transferred to a minicomputer via interface circuits, digitized, and processed automatically. Each digitized image consisted of 256 X 256 pixels with a gray scale of 256 values. The edges of the endocardial and epicardial walls were detected by applying sequential steps including smoothing, dynamic thresholding, region growing, and filling of small holes. The rationale of edge detection depended on assuming that abrupt changes in gray levels occurred at the boundary, and that the points with maximum gradient values were boundaries of the left ventricular wall. Best-fit contours of endocardial and epicardial edges were drawn by fitting a spline. Besides this automatic edge tracing, endocardial and epicardial edges were also manually traced using a digi-pen system, whose results coincided well with automatic tracings. After detection of edges of endocardial and epicardial walls, the short-axis cross sectional left ventricular wall at each level was divided into eight segments. The geometric center of the end-diastolic left ventricular cavity and the axis connecting this with the posterior end of the right side of the septum was used as the reference point and line (fixed reference system). End-diastolic and end-systolic segmental hemiaxes, segmental area, segmental wall thickness and changes during the cardiac cycle were measured and calculated automatically in each segment using a computer. Regional contractility of the left ventricle was evaluated by percent systolic changes of the segmental hemiaxis, area and wall thickness. These values were significantly reduced in the infarcted left ventricular wall as defined by left ventriculography and coronary angiography.(ABSTRACT TRUNCATED AT 400 WORDS)