论文标题
使用声学模拟基于神经网络的二维超声成像技术
Two-dimensional Ultrasound Imaging Technique based on Neural Network using Acoustic Simulation
论文作者
论文摘要
二维（2D）超声成像被广泛用于多个字段。在这项研究中，显示了基于机器学习的二维超声成像技术的潜力。将线发射器放在一侧，分别将接收器阵列放置在介质的另一侧。接收器阵列的接收信号被视为2D图像，并使用卷积神经网络（CNN）将其转换为目标介质的2D几何形状。使用多达40000个模拟数据的数值模拟研究的结果表明，估计的几何形状和真实几何形状之间的良好一致性。
The two-dimensional (2D) ultrasound imaging is widely used in several fields. In this study, the potential of two-dimensional ultrasound imaging technique based on machine learning is shown. A line transmitter was placed at one side and a receiver array was placed at the opposite side of the medium, respectively. The received signals at the receiver array was considered as a 2D image and it was converted to a 2D geometry of the target medium using convolutional neural network (CNN). The results of the numerical simulation studies which use up to 40000 simulation data showed the good agreement between the estimated and true geometry.
