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Randoms Estimation for Long Axial Field-of-View PET.

Margaret E Daube-Witherspoon1, Stephen C Moore1, Joel S Karp1

  • 1Dept. of Radiology, University of Pennsylvania, Philadelphia, PA 19104 USA.

IEEE Transactions on Radiation and Plasma Medical Sciences
|November 21, 2025
PubMed
Summary
This summary is machine-generated.

Estimating randoms from singles (RS) is an accurate method for long axial field-of-view (AFOV) PET scanners. This approach improves image noise and accuracy compared to other randoms estimation techniques.

Keywords:
Long axial field-of-viewPETrandoms estimation

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Positron Emission Tomography (PET)

Background:

  • Long axial field-of-view (AFOV) PET scanners offer high sensitivity across various count rates.
  • Wide coincidence windows are needed for these systems, leading to sparse and noisy measured delay sinograms.

Purpose of the Study:

  • To evaluate four randoms estimation methods for long AFOV PET systems.
  • To assess the impact of these methods on accuracy and image noise.

Main Methods:

  • Studied four randoms estimation techniques: measured delays (RD), RD-smooth, RD-average (RD-ave), and randoms from singles (RS).
  • Evaluated methods under varying count densities, randoms fractions, and with non-pure positron emitters.

Main Results:

  • RD and RD-smooth methods showed positive bias at low randoms counts, unlike RD-ave and RS.
  • RS method results agreed within 2.5% with RD-ave, while RD and RD-smooth showed 5-49% differences.
  • RS is practical for list-mode data, reducing storage and avoiding RD-ave approximations.

Conclusions:

  • Estimating randoms from singles (RS) is a practical and accurate method for long AFOV PET systems.
  • The RS method offers improved accuracy and reduced noise compared to other techniques.