DocumentCode
1558746
Title
Selection of a convolution function for Fourier inversion using gridding [computerised tomography application]
Author
Jackson, John I. ; Meyer, Craig H. ; Nishimura, Dwight G. ; Macovski, Albert
Author_Institution
Magnetic Resonance Syst. Res. Lab., Stanford Univ., CA, USA
Volume
10
Issue
3
fYear
1991
fDate
9/1/1991 12:00:00 AM
Firstpage
473
Lastpage
478
Abstract
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
Keywords
computerised tomography; Fourier inversion; Kaiser-Bessel window; artifact; computerised tomography; convolution function selection; convolving function; fast Fourier transform; finite kernel; gridding; sampling density; zero-order prolate spheroidal wave function; Computed tomography; Convolution; Fast Fourier transforms; Image reconstruction; Image sampling; Interpolation; Magnetic resonance imaging; Radio astronomy; Sampling methods; Wave functions;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.97598
Filename
97598
Link To Document