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Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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OMEGA V2: GPU-accelerated Python and MATLAB software for PET, SPECT, and CT reconstruction.

Ville-Veikko Wettenhovi1, Niilo Antero Saarlemo2, Nargiza Djurabekova3

  • 1Department of Technical physics, University of Eastern Finland - Kuopio Campus, Yliopistonranta 1 F, (Melania), Kuopio, 70211, Finland.

Physics in Medicine and Biology
|June 17, 2026
PubMed
Summary
This summary is machine-generated.

OMEGA V2 is open-source software for GPU-accelerated image reconstruction in PET, SPECT, and CT. This unified framework offers flexible algorithms and broad GPU support for developing advanced computational imaging methods.

Keywords:
CTPETSPECTimage reconstructionopen sourcesoftwaretomography

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Area of Science:

  • Medical Imaging
  • Computational Imaging
  • Software Engineering

Background:

  • Existing image reconstruction software often lacks unified support for diverse modalities like PET, SPECT, and CT.
  • Development of advanced imaging algorithms requires flexible, GPU-accelerated tools.
  • Cross-platform compatibility and ease of use are critical for widespread adoption in research and clinical settings.

Purpose of the Study:

  • To present OMEGA V2, an open-source, GPU-accelerated software framework for image reconstruction.
  • To detail the software architecture, projector models, and algorithms implemented in OMEGA V2.
  • To demonstrate the performance and capabilities of OMEGA V2 using realistic 3D examples from PET, SPECT, and CT.

Main Methods:

  • OMEGA V2 utilizes OpenCL and CUDA for broad GPU compatibility (AMD, Intel, NVIDIA).
  • The software features modular forward/backprojector operators and a suite of iterative algorithms with regularization models.
  • It supports advanced features like time-of-flight, list-mode reconstruction, and physical corrections (attenuation, scatter, normalization).

Main Results:

  • OMEGA V2 provides a unified reconstruction framework for PET, SPECT, CT, and hybrid modalities (PET/CT, SPECT/CT).
  • A new Python interface complements existing MATLAB/GNU Octave support, enabling interoperability with libraries like PyTorch.
  • High-resolution 3D reconstructions in PET, SPECT, and cone-beam CT (CBCT) show high quality and fast runtimes on consumer GPUs.

Conclusions:

  • OMEGA V2 offers a unified, open-source, GPU-optimized suite for computational imaging across PET, SPECT, and CT.
  • Its extensive algorithmic coverage and flexible interfaces facilitate the development and translation of novel reconstruction methods.
  • The software empowers researchers to create custom, GPU-accelerated imaging solutions for diverse applications.