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 …

This book is primarily aimed at students, researchers, and practitioners who are interested in
the computational aspects of X-ray computed tomography (CT). It is also relevant for those …

A reconstruction algorithm is derived for parallel beam transmission computed tomography
through two-dimensional structures in which diffraction of the insonifying beam must be …

Diffraction tomography is the generalization of X-ray tomography to applications such as
seismic exploration where diffraction effects must be taken into account. In this paper, the …

The Fourier inversion method for reconstruction of images in computerized tomography has
not been widely used owing to the perceived difficulty of interpolating from polar or other …

The problem of handling data that falls on a nonequally spaced grid occurs in numerous
fields of science, ranging from radio‐astronomy to medical imaging. In MRI, this condition …

While many synthetic aperture radar (SAR) image formation techniques exist, two of the
most intuitive methods for implementation by SAR novices are the matched filter and …

Advanced Topics in Shannon Sampling and Interpolation Theory is the second volume of a
textbook on signal analysis solely devoted to the topic of sampling and restoration of …

The authors explore a computational method for reconstructing an n-dimensional signal f
from a sampled version of its Fourier transform f/spl circ/. The method involves a window …

We present a new fast reconstruction algorithm for parallel beam tomography. The new
algorithm is an accelerated version of the standard filtered backprojection (FBP) …