Improving the signal-to-noise ratio in static PET reconstruction using HYPR-OSEM
Published: Oct 1, 2016
Abstract
We describe an iterative reconstruction algorithm (HYPR-OSEM) which improves the signal-to-noise ratio (SNR) in single frame static imaging by incorporating the HighlY constrained back-PRojection (HYPR) de-noising directly within the ordered subsets expectation maximization (OSEM) algorithm. The proposed HYPR operator in this work operates on the target image(s) from each subset of OSEM and uses the sum of the preceding subset images as the...
Paper Details
Title
Improving the signal-to-noise ratio in static PET reconstruction using HYPR-OSEM
Published Date
Oct 1, 2016
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