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超声心动图造影中局部心肌血容量的定量评估。

Quantitative evaluation of local myocardial blood volume in contrast echocardiography.

作者信息

Zwirn Gil, Beeri Ronen, Gilon Dan, Friedman Zvi, Akselrod Solange

机构信息

The Abramson Center for Medical Physics, Tel Aviv University, Tel Aviv 69978, Israel.

出版信息

Med Image Anal. 2009 Feb;13(1):62-79. doi: 10.1016/j.media.2008.06.009. Epub 2008 Jun 21.

Abstract

Myocardial perfusion is usually assessed by Single Photon Emission Computed Tomography (SPECT) imaging. Information about myocardial perfusion is sometimes deduced from angiography or Computed Tomography (CT) angiography, which detect coronary artery stenosis. Contrast echocardiography can be used for that purpose as well. However, the currently available data acquisition and analysis methods are difficult to manage in the clinical environment. This paper presents a novel contrast echo data acquisition protocol and parameter extraction procedure, providing an automatic quantitative evaluation of the local myocardial blood volume for the entire left ventricular myocardium. This information is indicative of local perfusion. Our method evaluates the myocardial blood volume according to the local gray level intensity, as measured during a single heartbeat, when there is a distinct myocardial opacification (based on visual estimation). The echocardiographic image analysis is based on a new attenuation correction technique, which compensates for the ultrasonic signal attenuation in both the tissue and the contrast agent. In comparison, the existing contrast echo based methods utilize the long-term temporal variability of the gray level to extract information regarding the local myocardial blood flow velocity. Our technique has been tested on 17 cine-loops of 15 different patients. We have found a high correlation between abnormal segments, detected automatically by our technique, and segments that have been clinically diagnosed as ischemic (at rest) or infarcted. For that purpose, we have defined ischemic segments as segments fed by coronary arteries with severe stenosis, as determined by angiography, and infarcted segments as segments after Acute Myocardial Infarction, as detected by electrocardiography. Furthermore, we have found a high correlation between the automatically calculated myocardial blood volume levels and the clinical evaluation of segmental contractility, based on echocardiographic imaging.

摘要

心肌灌注通常通过单光子发射计算机断层扫描(SPECT)成像进行评估。有时也会从检测冠状动脉狭窄的血管造影或计算机断层扫描(CT)血管造影中推断出有关心肌灌注的信息。对比超声心动图也可用于此目的。然而,目前可用的数据采集和分析方法在临床环境中难以管理。本文提出了一种新颖的对比回波数据采集协议和参数提取程序,可对整个左心室心肌的局部心肌血容量进行自动定量评估。该信息可指示局部灌注情况。我们的方法根据单次心跳期间在心肌有明显显影(基于视觉估计)时所测量的局部灰度强度来评估心肌血容量。超声心动图图像分析基于一种新的衰减校正技术,该技术可补偿组织和造影剂中的超声信号衰减。相比之下,现有的基于对比回波的方法利用灰度的长期时间变化来提取有关局部心肌血流速度的信息。我们的技术已在15名不同患者的17个电影环上进行了测试。我们发现,我们的技术自动检测到的异常节段与临床上诊断为缺血(静息时)或梗死的节段之间存在高度相关性。为此,我们将缺血节段定义为经血管造影确定由严重狭窄冠状动脉供血的节段,将梗死节段定义为经心电图检测为急性心肌梗死后的节段。此外,我们还发现自动计算的心肌血容量水平与基于超声心动图成像的节段收缩性临床评估之间存在高度相关性。

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