Selection of a convolution function for Fourier inversion using gridding (computerised tomography application) 论文

1991IEEE Transactions on Medical Imaging引用 1061
Seismic Imaging and Inversion TechniquesImage and Signal Denoising MethodsGeophysical and Geoelectrical Methods

摘要

In the technique known as gridding, the data samples are weighted for sampling density and convolved with a finite kernel, then resampled on a grid preparatory to a fast Fourier transform. The authors compare the artifact introduced into the image for various convolving functions of different sizes, including the Kaiser-Bessel window and the zero-order prolate spheroidal wave function (PSWF). They also show a convolving function that improves upon the PSWF in some circumstances.