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A novel method identifies inter-crystal scattering (ICS) events in PET detectors, applicable to both one-to-one and light-sharing designs. This technique improves intrinsic spatial resolution by recovering ICS events, enhancing PET imaging accuracy.

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Area of Science:

  • Medical Physics
  • Instrumentation
  • Nuclear Science

Background:

  • Inter-crystal scattering (ICS) events pose a challenge in Positron Emission Tomography (PET) detector performance.
  • Accurate identification and recovery of ICS events are crucial for improving PET image quality and quantitative accuracy.
  • Existing methods may have limitations in handling complex detector designs like light-sharing configurations.

Purpose of the Study:

  • To propose and validate a novel method for identifying inter-crystal scattering (ICS) events in PET detectors.
  • To assess the applicability of the proposed method to both one-to-one coupling and light-sharing detector designs.
  • To evaluate the impact of ICS event identification and recovery on intrinsic spatial resolution and energy linearity.

Main Methods:

  • A linear problem formulation was used to model detector observations for ICS event identification.
  • Two ICS identification techniques were explored: pseudoinverse matrix calculation and convex constrained optimization.
  • Simulations with varying crystal array configurations and experimental studies using digital silicon photomultipliers and LGSO crystals were conducted.

Main Results:

  • The convex optimization method achieved high ICS identification rates (0.93 for one-to-one, 0.87 for light-sharing).
  • Energy estimation was robust with the convex optimization approach.
  • Experimental validation demonstrated improved intrinsic spatial resolution after ICS recovery, reducing FWHM from 1.95mm to 1.72mm (one-to-one) and 2.25mm to 1.83mm (light-sharing).

Conclusions:

  • The proposed method effectively identifies ICS events in both one-to-one and light-sharing PET detectors.
  • Experimental results confirm that ICS recovery significantly improves intrinsic spatial resolution.
  • This advancement holds promise for enhancing the accuracy and performance of PET imaging systems.