DocumentCode
792502
Title
Filtered Back-Projection in
Compton Imaging With a Single 3D Position Sensitive CdZnTe Detector
Author
Xu, Dan ; He, Zhong
Author_Institution
Nucl. Eng. & Radiol. Sci. Dept., Michigan Univ., Ann Arbor, MI
Volume
53
Issue
5
fYear
2006
Firstpage
2787
Lastpage
2796
Abstract
The Compton scattering camera can provide higher detection efficiency since the use of a mechanical collimator is not required. Several image reconstruction algorithms for Compton scattering cameras, such as maximum likelihood method and ART, can provide good imaging performance but are indirect and computational intensive. A direct reconstruction algorithm, such as filtered back-projection, is preferable if computational time is critical. Parra proposed an analytical inversion algorithm from cone-beam projections for Compton scattering cameras with a complete data set. In reality, a Compton camera is always limited by its configuration and can only provide an incomplete data set with a finite range of scattering angles. In this paper, we investigate a filtered back-projection algorithm applied to single 3-dimensional position sensitive CdZnTe detectors
Keywords
gamma-ray detection; image reconstruction; position sensitive particle detectors; semiconductor counters; 4pion Compton imaging; Compton scattering camera; analytical inversion algorithm; cone-beam projections; filtered back-projection; image reconstruction algorithms; maximum likelihood method; mechanical collimator; reconstruction algorithm; single 3D position sensitive CdZnTe detector; Algorithm design and analysis; Cameras; Collimators; Electromagnetic scattering; Energy resolution; Image reconstruction; Particle scattering; Position sensitive particle detectors; Reconstruction algorithms; Single photon emission computed tomography; 3-dimensional position sensitive CdZnTe detector; compton imaging; filtered back-projection;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/TNS.2006.880974
Filename
1710269
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