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A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
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YRT-PET: An Open-Source GPU-accelerated Image Reconstruction Engine for Positron Emission Tomography.

Yassir Najmaoui1, Yanis Chemli2, Maxime Toussaint3

  • 1Yale Biomedical Imaging Institute and Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA and the Interdisciplinary Institute for Technological Innovation, Université de Sherbrooke, Sherbrooke, QC, Canada.

IEEE Transactions on Radiation and Plasma Medical Sciences
|December 22, 2025
PubMed
Summary
This summary is machine-generated.

YRT-PET is a new open-source toolkit for positron emission tomography (PET) image reconstruction. It offers flexibility, speed, and interoperability for developing advanced PET imaging algorithms and systems.

Keywords:
C++Pythongraphics processing unit (GPU)image reconstructionpositron emission tomography (PET)software

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Area of Science:

  • Medical Imaging
  • Computational Science

Background:

  • Positron emission tomography (PET) image reconstruction relies on accurate scanner models, often proprietary, limiting research.
  • Existing open-source tools lack a unified engine for reusable code, speed, and extensibility.

Purpose of the Study:

  • Introduce YRT-PET, an open-source toolkit for flexible, reproducible, and fast PET image reconstruction.
  • Enable interoperability and extensibility for advanced algorithm development and scanner system research.

Main Methods:

  • Developed YRT-PET in C++ with CUDA-enabled GPU acceleration and Python bindings.
  • Implemented a plugin system for multi-scanner support and incorporated features like time-of-flight and motion correction.

Main Results:

  • Evaluated YRT-PET on two scanners across dynamic imaging, motion correction, deep image prior, and limited-angle geometry.
  • Demonstrated good agreement in image quality and correction effectiveness compared to existing tools.

Conclusions:

  • YRT-PET provides a versatile, high-performance open-source solution for PET image reconstruction research.
  • The toolkit facilitates the development of novel reconstruction algorithms and new PET scanner systems.