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Image Credit: Arxiv

Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections

  • PET detectors have timing performance degraded by various factors.
  • Researchers developed a residual physics-based calibration approach using machine learning.
  • The approach simplifies data acquisition, improves linearity, and enhances timing performance.
  • Experiments were conducted using two detector stacks with specific components.

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