Interpolation scan conversion in pulse-echo ultrasound

Some disadvantages of current digital scan conversion techniques are reviewed. An improved system is described which uses linear interpolation between available sampled data points to provide an estimate of the echo reflectivity at each grid point in the image. This approach avoids the problems of “missed pixels” inherent in the current approach, and the need to provide some smoothing or blurring function to remove them. The interpolated scan conversion allows data line spacing to be increased, leading to a reduced scan time for static scans and increased frame-rate for real-time, while retaining all the resolution available from the ultrasound system.

Image restoration by the method of convex projections: part 2 applications and numerical results

The image restoration theory discussed in a previous paper by Youla and Webb [1] is applied to a simulated image and the results compared with the well-known method known as the Gerchberg-Papoulis algorithm. The results show that the method of image restoration by projection onto convex sets, by providing a convenient technique for utilizing a priori information, performs significantly better than the Gerchberg-Papoulis method.