Title
Microlocal analysis of an FBP algorithm for truncated spiral cone beam data
Abbreviated Journal Title
J. Fourier Anal. Appl.
Keywords
cone-beam; spiral tomography; approximate reconstruction; filtered; back-projection; algorithm; analysis of artifacts; FILTERED-BACKPROJECTION ALGORITHM; X-RAY TRANSFORM; HELICAL DATA; LONG-OBJECT; TOMOGRAPHY; Mathematics, Applied
Abstract
In this article we propose an FBP-type algorithm for inversion of spiral cone beam data, study its theoretical properties, and illustrate performance of the algorithm by numerical examples. In particular it is shown that the algorithm does not reconstruct f exactly, but computes the result of applying a pseudo-differential operator (PDO) with singular symbol to f. Away from critical directions the amplitude of this PDO is homogeneous of order zero in the dual variable, bounded, and approaches one as the pitch of the spiral goes to zero. Numerical experiments presented in the article show that even when the pitch is relatively large, the accuracy of reconstruction is quite high. On the other hand, under certain circumstances, the algorithm produces artifacts typical of all FBP-type algorithms.
Journal Title
Journal of Fourier Analysis and Applications
Volume
8
Issue/Number
5
Publication Date
1-1-2002
Document Type
Article
Language
English
First Page
407
Last Page
425
WOS Identifier
ISSN
1069-5869
Recommended Citation
"Microlocal analysis of an FBP algorithm for truncated spiral cone beam data" (2002). Faculty Bibliography 2000s. 3279.
https://stars.library.ucf.edu/facultybib2000/3279
Comments
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