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Updated: May 3, 2026

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CoReSi: a GPU-based software for Compton camera reconstruction and simulation in collimator-free SPECT.

Vincent Lequertier1, Étienne Testa2, Voichiţa Maxim1

  • 1INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69100 Lyon, France.

Physics in Medicine and Biology
|January 15, 2025
PubMed
Summary

CoReSi is a new open-source Compton reconstruction and simulation software. This Python-based tool leverages PyTorch for advanced medical imaging and near-field experiments, enhancing gamma-ray imaging capabilities.

Keywords:
Compton cameraSPECTconical Radon transformimage reconstructionopen source software

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Area of Science:

  • Medical Imaging
  • Nuclear Physics
  • Computational Science

Background:

  • Compton cameras (CCs) are crucial for observing gamma-ray photon sources.
  • Image reconstruction from CC data involves solving complex inverse problems.
  • Existing open-source CC reconstruction tools are limited, primarily for astronomy.

Purpose of the Study:

  • Introduce CoReSi, an open-source Compton reconstruction and simulation software.
  • Provide a flexible and high-performance tool for 3D image reconstruction in medical imaging and near-field experiments.
  • Facilitate research and collaboration across various scientific communities.

Main Methods:

  • Developed in Python with PyTorch for multi-threading and deep learning integration.
  • Incorporates state-of-the-art mathematical models for Compton camera physics.
  • Features flexible geometry definition and support for multiple cameras.
  • Includes computation of system matrices and projector operators.
  • Offers a simplified Monte Carlo data simulation function.

Main Results:

  • CoReSi provides a robust framework for Compton camera data reconstruction and simulation.
  • The software supports a range of mathematical models, from simple to sophisticated.
  • Enables flexible configuration of camera geometry and detector materials.
  • Facilitates code development and rapid prototyping through simulation capabilities.

Conclusions:

  • CoReSi addresses the need for open-source Compton camera reconstruction software, particularly for medical applications.
  • Its PyTorch implementation facilitates integration with deep learning algorithms.
  • The tool aims to accelerate research and development in gamma-ray imaging.