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SUV Harmonization Between Different Hybrid PET/CT Systems.

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  • 1Department of Radiology, University of Southern California, Los Angeles, CA.

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This summary is machine-generated.

A new EQ.filter algorithm harmonizes SUVmax discrepancies between PET/CT scanners. This single reconstruction method optimizes lesion detectability and quantitation, simplifying accreditation processes.

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Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Radiochemistry

Background:

  • Current PET/CT scanners use advanced reconstruction software (PSF/TOF) leading to higher SUVs than older systems.
  • The European Association of Nuclear Medicine (EANM) established the EARL program for FDG PET/CT accreditation, requiring dual reconstructions for lesion detection and quantitation.
  • SUV harmonization remains a challenge for consistent quantitative analysis across different PET/CT systems.

Purpose of the Study:

  • To investigate a single reconstruction method optimizing both spatial lesion detectability and SUV harmonization.
  • To evaluate an intrinsic post-reconstruction algorithm (EQ.filter) for harmonizing SUV values between different PET/CT scanners.
  • To compare the proposed single reconstruction method with the EANM/EARL dual reconstruction approach.

Main Methods:

  • Phantom and patient data were acquired on LSO (PSF/TOF) and BGO (non-PSF/TOF) PET/CT scanners.
  • NEMA IQ and Jaszczak phantoms with varying lesion-to-background ratios were used for quantitative analysis.
  • The EQ.filter algorithm was applied to harmonize SUV values, and results were validated on 7 oncologic patients with 39 lesions.

Main Results:

  • PSF + TOF LSO PET/CT systems demonstrated improved contrast for small lesions compared to 3D-OSEM reconstructions.
  • Recovery coefficients exceeded those from 3D-OSEM.
  • SUVmax discrepancies between scanners were reduced from 149% to below 10% using the EQ.filter algorithm.

Conclusions:

  • A single reconstruction optimized by EQ.filter effectively harmonizes SUV values between different PET/CT scanners.
  • This method enhances spatial lesion detectability while ensuring accurate quantitation.
  • The EQ.filter approach offers a simpler and precise alternative to the EANM/EARL dual reconstruction requirement.