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Image improvements in positron-emission tomography due to measuring differential time-of-flight and using maximum-likelihood estimation

Conference · · IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (USA)
OSTI ID:6584222
 [1]
  1. Institute for Biomedical Computing, Biomedical Computer Lab., Washington Univ., St. Louis, MO (US)
Two distinctly different methods have been used to improve images produced in positron-emission tomography. The first method is to measure the differential time of flight of the photon pairs which are detected; the second is to use an iterative algorithm which computes maximum likelihood estimates of radioactivity distributions. The authors have quantified the performance of algorithms which include neither, one or the other, or both methods of improvement by performing a repetitive simulation experiment using the Hoffman brain phantom as the underlying distribution of radioactivity. The authors' simulations show that all of the algorithms yield unbiased estimates of the desired image. The algorithm which computes maximum-likelihood estimates using time-of-flight information reconstructs images with the lowest variance. The algorithm which uses neither of these methods (filtered backprojection) reconstructs images with the highest variance.
OSTI ID:
6584222
Report Number(s):
CONF-900143--
Conference Information:
Journal Name: IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (USA) Journal Volume: 37:2
Country of Publication:
United States
Language:
English

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