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Sources and characterization of clutter in cardiac B-mode images

机译:心脏B型图像中杂波的来源和特征

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In echocardiography, clutter is one of the most problematic image artifacts, often obscuring ventricular borders and introducing stationary noise in blood flow measurements. Clutter in transthoracic cardiac images is widely understood to originate from reverberations and off-axis echoes. The objective of this work is to investigate the sources of clutter in cardiac images and their relative contributions. Real-time 3D raw echo data was acquired at a volumetric frame rate of 1 kHz and speckle tracking was applied to resulting images to determine the motion characteristics of clutter and adjacent myocardium. When clutter adjacent to the myocardial wall was tracked, the clutter and adjacent myocardium had similar displacements. When clutter farther from the myocardial wall was tracked, displacements were temporally and spatially complex and did not correlate well with any portion of the myocardium. In addition, principal component analysis (PCA) was applied to the raw echo data and resulting eigenvectors were used to isolate various motion patterns in the cardiac data. Results support the hypothesis that echoes from stationary structures, such as the ribcage and chest wall, are contributors to stationary clutter noise, while the myocardium is a dominant source of nonstationary clutter.
机译:在超声心动图中,杂波是最有问题的图像伪像之一,通常会遮盖心室边界并在血流测量中引入固定噪声。经胸心脏图像中的杂波被广泛理解为源自混响和离轴回波。这项工作的目的是调查心脏图像中的杂波来源及其相对贡献。实时3D原始回波数据以1 kHz的体积帧速率获取,并将斑点跟踪应用于所得图像,以确定杂波和邻近心肌的运动特征。当跟踪与心肌壁相邻的杂波时,该杂波和相邻的心肌具有相似的位移。当追踪离心肌壁较远的杂波时,位移在时间和空间上都是复杂的,并且与心肌的任何部分都没有很好的相关性。此外,将主成分分析(PCA)应用于原始回波数据,并将所得的特征向量用于隔离心脏数据中的各种运动模式。结果支持以下假设:固定结构(例如胸腔和胸壁)的回声是固定杂波噪声的原因,而心肌是非平稳杂波的主要来源。

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