Several approaches have been developed to lower the cost of 4D ultrasound systems. For example, the required computational effort of 4D ultrasound imaging can be lowered using low complexity volume reconstruction techniques such as nearest neighbor interpolation. Nevertheless, such methods affect reconstructed volume quality to a great extent. Moreover, more accurate techniques like normalized convolution, backward trilinear interpolation, and forward spherical and ellipsoidal Gaussian kernel, were not practical for real-time imaging because of the tight reconstruction time available [1].