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MCGPU-PET: An Open-Source Real-Time Monte Carlo PET Simulator.

Joaquin L Herraiz1,2, Alejandro Lopez-Montes1,3, Andreu Badal4

  • 1Complutense University of Madrid, EMFTEL, Grupo de Física Nuclear and IPARCOS, Madrid, 28040, Spain.

Computer Physics Communications
|December 25, 2023
PubMed
Summary
This summary is machine-generated.

We developed MCGPU-PET, a new open-source Monte Carlo (MC) software for Positron Emission Tomography (PET) simulation. This GPU-accelerated tool significantly speeds up the estimation of coincidences and background radiation for improved image reconstruction.

Keywords:
MCGPUMonte CarloPositron Emission Tomography (PET)scatter estimation

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Area of Science:

  • Medical Imaging
  • Computational Physics
  • Nuclear Medicine

Background:

  • Monte Carlo (MC) simulations are crucial for modeling radiation in Positron Emission Tomography (PET).
  • Existing MC software can be computationally intensive, limiting simulation speed.

Purpose of the Study:

  • Introduce MCGPU-PET, an open-source MC software for accelerated PET simulations.
  • Leverage GPU computing to enhance the speed of PET data acquisition modeling.

Main Methods:

  • Developed MCGPU-PET based on the PENELOPE-MCGPU code, optimizing for modern GPUs.
  • Validated simulation accuracy against GATE and PeneloPET, achieving ~10% agreement.
  • Simulated a NEMA IQ phantom, generating millions of coincidences in seconds.

Main Results:

  • MCGPU-PET simulates over 100 million coincidences per second.
  • Generated a 3D sinogram with 6.382 billion true and 0.731 billion scatter coincidences in 54 seconds on a single GPU.
  • Achieved speed-up of 3 orders of magnitude compared to CPU-based MC simulators.

Conclusions:

  • MCGPU-PET offers a significant speed-up for PET simulations.
  • Enables rapid estimation of true/scatter coincidences and background radiation.
  • Facilitates accurate scatter and prompt-gamma background estimation in iterative image reconstruction.