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Proceedings Paper

Characteristics of feasible images obtained from real PET data by MLE, Bayesian, and sieve methods
Author(s): Jorge Llacer; Alex C. Bajamonde
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Paper Abstract

The frequency speciral characteristics, bias and variance of images reconstructed from real Positron Emission Tomography (PET) data have been studied. Feasible images obtained from statistically based reconstruction methods have been compared to Filtered Backprojection (FBP) images. Feasible images have been described as those images that are compatible with the measured data by consideration of the Poisson nature of the emission process. The results show that the spectral characteristics of reconstructions obtained by statistically based methods are at least as good as those obtained by the FBP methods. With some exceptions, statistically based reconstructions do not exhibit abnormal amounts of bias. The most significant difference between the two groups of reconstructions is in the image variance, where the statistically based methods yield substantially smaller variances in the regions with smaller image intensity than the FBP images.

Paper Details

Date Published: 1 November 1990
PDF: 13 pages
Proc. SPIE 1351, Digital Image Synthesis and Inverse Optics, (1 November 1990); doi: 10.1117/12.23642
Show Author Affiliations
Jorge Llacer, Lawrence Berkeley Lab. (United States)
Alex C. Bajamonde, Lawrence Berkeley Lab. (United States)

Published in SPIE Proceedings Vol. 1351:
Digital Image Synthesis and Inverse Optics
Arthur F. Gmitro; Paul S. Idell; Ivan J. LaHaie, Editor(s)

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