  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.
