Publication
Title
Algebraic filter approach for fast approximation of nonlinear tomographic reconstruction methods
Author
Abstract
We present a computational approach for fast approximation of nonlinear tomographic reconstruction methods by filtered backprojection (FBP) methods. Algebraic reconstruction algorithms are the methods of choice in a wide range of tomographic applications, yet they require significant computation time, restricting their usefulness. We build upon recent work on the approximation of linear algebraic reconstruction methods and extend the approach to the approximation of nonlinear reconstruction methods which are common in practice. We demonstrate that if a blueprint image is available that is sufficiently similar to the scanned object, our approach can compute reconstructions that approximate iterative nonlinear methods, yet have the same speed as FBP. (C) 2015 SPIE and IS&T
Language
English
Source (journal)
Journal of electronic imaging. - Springfield, Va
Publication
Springfield, Va : 2015
ISSN
1017-9909
Volume/pages
24:1(2015), 12 p.
Article Reference
013026
ISI
000350466100027
Medium
E-only publicatie
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 08.04.2016
Last edited 08.11.2017
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