Simulated ultrasound CFM data for autocorrelation estimationThe RF data was obtained from simulating a parabolic flow by using the Field II program. The simulation generates 10 RF signals in the same position with Tprf seconds between the RF signals, which are then grouped in a single Matlab file. This is done for all scan position. Twenty scan positions were generated starting from the left side of the phantom and moving to the right in increments of 2 mm. The linear scan of the phantom was made with a 192 element transducer using 64 active elements with a Hanning apodization in transmit and a dynamic Hanning apodization in receive. A single transmit focus was placed at 60 mm, and receive focusing was done at 2 mm intervals from 10 mm from the transducer surface. The resulting signals have then been used in a standard autocorrelation estimator for finding the velocity image. The resulting color flow image is shown below. The data for the simulation are given below:
The RF data can be obtained from the ftp-server from the directory:
The Matlab variable with the data is called data. One column in one of the data files contains the received RF signal for one pulse emission. The matrix, thus, contains 10 columns for of RF data in one direction from which the velocity distribution can be found along that direction. The phantom has also scanned as a B-mode image with 60 lines starting a lateral position of -20 mm and then using an increment of 2/3 mm per line. The data for the B-mode image can be found in: The file contains a matrix with 60 columns; one for each line in the image. The data starts 30 mm from transducer surface and the sampling frequency is 25 MHz. |