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NEURAL NETWORK MODEL AND ULTRASONIC BEAM FORMING METHOD BASED ON NEURAL NETWORK MODEL

机译:基于神经网络模型的神经网络模型和超声波束形成方法

摘要

The invention provides an ultrasonic beam forming method based on a neural network model. The method comprises: receiving, by the processing device, the ultrasonic echo radio frequency signal, and performing a preliminary processing of the ultrasonic echo radio frequency signal, so that the ultrasonic echo radio frequency signal is applicable to the neural network model; inputting the ultrasonic echo radio frequency signal into the neural network model; performing a convolution processing on the ultrasonic echo radio frequency signal for multiple times, and performing pooling processing after each convolution processing; flattening the ultrasonic echo radio frequency signal after the last pooling process is completed, so as to convert the ultrasonic echo radio frequency signal from three-dimensional data into one-dimensional data; classifying the one-dimensional data for multiple times; and performing grayscale mapping on the classified ultrasonic echo radio frequency signal to form an ultrasonic beam.
机译:本发明提供了一种基于神经网络模型的超声波束形成方法。该方法包括:通过处理装置,超声波回波射频信号接收,并执行超声波回波射频信号的预备处理,使超声波回波射频信号适用于神经网络模型;将超声波回波射频信号输入神经网络模型;在多次对超声波回波射频信号进行卷积处理,并在每个卷积处理之后进行汇集处理;在最后一次池处理过程之后平整超声波回波射频信号,以便将超声波回波射频信号从三维数据转换为一维数据;分类多次数据的一维数据;在分类的超声波回波射频信号上执行灰度映射以形成超声波束。

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