DocumentCode
884223
Title
Inversion of 2D planogram data for finite-length detectors
Author
Kazantsev, Ivan G. ; Matej, Samuel ; Lewitt, Robert M.
Author_Institution
Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA
Volume
53
Issue
1
fYear
2006
Firstpage
160
Lastpage
166
Abstract
In this paper we investigate the problem of inverting data acquired from finite-length linear detectors in the 2D case. In our previous modeling of the forward problem we dealt with explicit formulas for the elements of system and Gram matrices involved in 2D and 3D algebraic reconstruction from planograms. In this paper we continue our efforts to model flat panel detectors, from the discrete algebraic approach with huge Gram matrices arising in practical 3D PET situations to more compact and fast representation in terms of integral operators. Integral equations for a single pair and for two pairs of linear detectors taking into account the finite length of the detectors are derived. As first applications of our theoretical results, fast filtered backprojection-like algorithms based on the Hilbert and Fourier transforms are proposed. Test numerical experiments are presented.
Keywords
Hilbert transforms; algebra; image reconstruction; integral equations; positron emission tomography; 2D algebraic reconstruction; 2D planogram data; 3D PET situations; 3D algebraic reconstruction; Fourier transforms; Gram matrices; Hilbert transforms; discrete algebraic approach; explicit formulas; fast filtered backprojection-like algorithms; finite-length linear detectors; flat panel detectors; integral equations; integral operators; planar detectors; Detectors; Fourier transforms; Image reconstruction; Integral equations; Iterative methods; Joining processes; Positron emission tomography; Radiology; Testing; Transmission line matrix methods; 2D reconstruction; Hilbert transform; integral equations; planar detectors;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/TNS.2005.862976
Filename
1610967
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