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Transcutaneous localization of arterial bleeding by two-dimensional ultrasonic imaging of tissue vibrations

机译:通过组织振动的二维超声成像对动脉出血进行经皮定位

摘要

An ultrasound based technique for detecting and imaging vibrations in tissue caused by eddies produced during bleeding through punctured arteries or from organs. A clutter signal, normally suppressed in conventional color flow imaging, is employed to detect and characterize local tissue vibrations, to detect internal bleeding in an image, or as an audible or palpable signal, or a readout. Using a tissue vibration image, the origin and extent of vibrations relative to the underlying anatomy and blood flow can be visualized in real time, enabling measurements of vibration amplitude, frequency, and spatial distribution. Bleeding rate can be determined from the frequency and amplitude of the vibrations. Signal processing algorithms usable to identify tissue vibrations from an ensemble of 2D ultrasound data include those based on phase decomposition, spectral estimation using eigendecomposition, and spectral estimation using autoregressive modeling for isolating vibrations from clutter, blood flow, and noise.
机译:一种基于超声波的技术,用于检测和成像由穿刺动脉或器官出血引起的涡流引起的组织振动。通常在常规彩色流成像中被抑制的杂波信号被用于检测和表征局部组织振动,检测图像中的内部出血,或作为可听或可触知的信号或读数。使用组织振动图像,可以实时可视化相对于基础解剖结构和血流的振动的起源和程度,从而可以测量振动幅度,频率和空间分布。出血率可以根据振动的频率和幅度来确定。可用于从2D超声数据集中识别组织振动的信号处理算法包括基于相位分解,使用特征分解的频谱估计以及使用自回归模型将振动与杂波,血流和噪声隔离的频谱估计的算法。

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