NDLI: Kalman sinogram restoration for fast and accurate PET image reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Chien-Min Kao Wernick, M.N. Chin-Tu Chen
Copyright Year	1998
Description	Author affiliation: Dept. of Radiol., Chicago Univ., IL, USA (Chien-Min Kao)
Abstract	Sinogram restoration followed by filtered backprojection has been shown to be a fast alternative to direct image reconstruction 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; 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 surprisingly good results with very fast computations. The new method shows greatly improved noise performance at realistic noise levels, and its computational cost is little more than that of conventional PET image reconstruction by filtered backprojection.
Starting Page	1102
Ending Page	1106
File Size	560458
Page Count	5
File Format	PDF
ISBN	0780342585
ISSN	10823654
DOI	10.1109/NSSMIC.1997.670501
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-11-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kalman filters Image restoration Positron emission tomography Noise level Image reconstruction Motion detection Detectors Degradation Filtering Computational efficiency
Content Type	Text
Resource Type	Article

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