Kalman sinogram restoration for fast and accurate PET image reconstruction

Sinogram restoration followed by filtered backprojection (FBP) is a fast method for obtaining PET images of good quality and quantitative accuracy. In previous studies, the authors used detector motion and the method of projection onto convex sets for sinogram restoration to improve on FBP reconstru...

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Bibliographic Details
Published in:IEEE transactions on nuclear science 1998-12, Vol.45 (6), p.3022-3029
Main Authors: Chien-Min Kao, Wernick, M.N., Chin-Tu Chen
Format: Article
Language:English
Subjects:
Computer simulation
Degradation
Detectors
Filtering
Image reconstruction
Image restoration
Kalman filters
Motion detection
Noise level
Positron emission tomography
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Summary:Sinogram restoration followed by filtered backprojection (FBP) is a fast method for obtaining PET images of good quality and quantitative accuracy. In previous studies, the authors used detector motion and the method of projection onto convex sets for sinogram restoration to improve on FBP reconstruction; but, the performance was observed to degrade rapidly when the noise level of PET data increased. In this paper, the authors describe a sinogram restoration method based on Kalman filtering that provides promising results in computer simulations. The potential benefits of this new method includes improved noise performance and a low computational cost which is comparable to that of conventional FBP.
ISSN:0018-9499
1558-1578
DOI:10.1109/23.737659