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Framework for evaluating photon-counting detectors under pile-up conditions.

David Leibold1, Stefan J van der Sar1, Marlies C Goorden1

  • 1Delft University of Technology, Department of Radiation Science and Technology, Delft, The Netherlands.

Journal of Medical Imaging (Bellingham, Wash.)
|May 27, 2024
PubMed
Summary

X-ray photon-counting detectors (PCDs) exhibit non-linear behavior under clinical conditions due to pile-up. This study introduces a new framework to evaluate PCDs, considering their non-linear response for accurate medical imaging analysis.

Keywords:
medical imagingnon-linear systemsphoton-counting X-ray detectorspile-uppoint spread functionsmall-signal analysis

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Area of Science:

  • Medical Imaging Physics
  • Detector Science

Background:

  • X-ray photon-counting detectors (PCDs) offer advanced capabilities for medical imaging.
  • Existing theoretical frameworks often assume linear detector response, which is invalid under typical clinical operating conditions with significant pile-up.

Purpose of the Study:

  • To develop a framework for evaluating PCDs that accounts for their non-linear behavior caused by pile-up.
  • To enable accurate assessment of PCD performance under clinically relevant conditions.

Main Methods:

  • Utilized small-signal analysis to study PCD behavior under pile-up.
  • Introduced the perturbation point spread function (pPSF) to describe detector response.
  • Employed Monte-Carlo simulations for idealized direct- and indirect-conversion PCDs.

Main Results:

  • Calculated pPSFs for two PCDs, demonstrating their utility in assessing signal sensitivity to lesions.
  • Illustrated detrimental pile-up effects, including contrast inversion and bin cancellation.
  • Quantified spectral and spatial performance under realistic operating conditions.

Conclusions:

  • The proposed framework accurately quantifies PCD performance under clinical conditions, highlighting non-linear effects.
  • PCDs should not be analyzed as linear systems; this framework adapts existing measures like the modulation transfer function.
  • The framework aids in developing better PCDs and imaging systems.