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A simplified numerical model for Compton cameras efficiency and spatial resolution estimation.

Aicha Bourkadi Idrissi1, Ilenia D'Adda1, Giacomo Borghi1

  • 1Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Milan, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Milano, Milan, Italy.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|October 24, 2025
PubMed
Summary
This summary is machine-generated.

A new numerical model simplifies Compton Camera (CC) design, enabling faster efficiency optimization for nuclear medicine and environmental monitoring. This tool offers a user-friendly, cost-effective alternative to complex Monte Carlo simulations.

Keywords:
Compton cameraEfficiency optimizationHadrontherapyMonte Carlo simulation

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Area of Science:

  • Nuclear physics
  • Medical imaging
  • Detector physics

Background:

  • Compton Cameras (CC) offer higher efficiency than traditional gamma cameras, crucial for nuclear medicine and environmental monitoring.
  • Existing Monte Carlo (MC) simulation toolkits provide accuracy but suffer from low computational efficiency for detector optimization.

Purpose of the Study:

  • To develop a simplified numerical model for Compton Camera (CC) multi-parameter optimization.
  • To provide a user-friendly, low-cost alternative to traditional Monte Carlo (MC) tools for estimating system efficiency.

Main Methods:

  • A simplified numerical model for a two-tier Compton Camera (CC) was developed for stochastic simulations.
  • The model calculates geometrical and intrinsic scatter and absorber efficiencies based on detector parameters.
  • Outputs include partial and total detection efficiencies.

Main Results:

  • Analyzed the impact of geometrical and physical parameters on total efficiency for a heterogeneous CC with GAGG and LYSO scintillators.
  • Validated results against ANTS2 and GATE simulation packages, showing good agreement.
  • Confirmed the reliability of the developed numerical model.

Conclusions:

  • The developed tool significantly accelerates Compton Camera (CC) configuration analysis, estimating system efficiency in minutes.
  • This contrasts sharply with conventional Monte Carlo simulations, which can take hours.
  • The model provides a reliable and efficient method for optimizing CC designs.