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Title: Characteristics of feasible images obtained from real PET (Positron Emission Tomography) data by MLE (Maximum Likelihood Estimator), Bayesian and sieve methods

Conference ·
OSTI ID:6724680
 [1];  [2]
  1. Lawrence Berkeley Lab., CA (USA)
  2. California Univ., Berkeley, CA (USA). Dept. of Statistics

The frequency spectral 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. 14 refs., 12 figs., 3 tabs.

Research Organization:
Lawrence Berkeley Lab., CA (USA)
Sponsoring Organization:
DOE/ER; DOHHS
DOE Contract Number:
AC03-76SF00098
OSTI ID:
6724680
Report Number(s):
LBL-29150; CONF-900756-22; ON: DE90015298
Resource Relation:
Conference: SPIE's international symposium on optical and optoelectronic applied science and engineering exhibit, San Diego, CA (USA), 8-13 Jul 1990
Country of Publication:
United States
Language:
English