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在体外模型中使用视频密度测定法从对比超声心动图确定射血分数。

Determination of ejection fraction from contrast echocardiography using videodensitometry in an in vitro model.

作者信息

Xie F, Meltzer R S

机构信息

Department of Medicine, University of Rochester, New York.

出版信息

J Ultrasound Med. 1988 Oct;7(10):581-7. doi: 10.7863/jum.1988.7.10.581.

Abstract

To examine whether ejection fraction can be estimated by videodensitometric analysis of contrast washout from a chamber, a model was constructed consisting of a 60-ml syringe and a modified Harvard respirator. Ejection fraction could be adjusted mechanically. Echocardiographic images were recorded on videotape and analyzed on an offline computerized analysis system. To calibrate the relationship between target concentration and videodensity on our sector scanner-videodensity analysis system, we used a phantom with constant attenuation and eight cones with known, varying relative scatterer concentration. The time-gain-compensation curve was kept constant on the ultrasound instrument and videodensity was measured from videotapes by an offline computer system. In the image of each cone, a 10 X 70 pixel operator-designated region of interest was chosen, and mean videodensity/pixel (256 level gray scale) was calculated. A logarithmic relation was found between scatterer concentration and videodensity. This excellent log relationship existed at all three gain levels studied: at 40% of maximum gain, r = .96; at 50% gain, r = .99; and at 60% gain, r = .99 (all p less than .001). Boluses of .5 ml sonicated Hypaque were then injected into the chamber and the contrast washout was recorded at ejection fractions of 20, 30, 40, 50, 60, and 70%. Bolus delivery and complete contrast mixing was attained except at ejection fraction 20%. Using the first two to four stroke videodensity decay the ejection fraction was calculated by estimating microbubble concentration decline using the logarithmic regression equation between videodensity and scatter concentration obtained during calibration.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

为了研究能否通过对心腔内造影剂洗脱的视频密度分析来估计射血分数,构建了一个由60毫升注射器和改良的哈佛呼吸器组成的模型。射血分数可通过机械方式进行调节。超声心动图图像被记录在录像带上,并在离线计算机分析系统上进行分析。为了校准我们的扇形扫描仪 - 视频密度分析系统上目标浓度与视频密度之间的关系,我们使用了一个具有恒定衰减的体模和八个相对散射体浓度已知且不同的圆锥体。超声仪器上的时间增益补偿曲线保持不变,视频密度由离线计算机系统从录像带中测量。在每个圆锥体的图像中,选择一个10×70像素的由操作员指定的感兴趣区域,并计算平均视频密度/像素(256级灰度)。发现散射体浓度与视频密度之间存在对数关系。在所研究的所有三个增益水平下都存在这种良好的对数关系:在最大增益的40%时,r = 0.96;在50%增益时,r = 0.99;在60%增益时,r = 0.99(所有p值均小于0.001)。然后将0.5毫升超声处理的泛影葡胺团注注入心腔,并在射血分数为20%、30%、40%、50%、60%和70%时记录造影剂洗脱情况。除了射血分数为20%时,实现了团注给药和造影剂的完全混合。利用前两到四个心动周期的视频密度衰减,通过使用校准期间获得的视频密度与散射浓度之间的对数回归方程估计微泡浓度下降来计算射血分数。(摘要截短至250字)

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