SIRF: Synergistic Image Reconstruction Framework

Published: 9 Jan 2020 | Version 1 | DOI: 10.17632/s45f5jh55j.1

Description of this data

The combination of positron emission tomography (PET) with magnetic resonance (MR) imaging opens the way to more accurate diagnosis and improved patient management. At present, the data acquired by PET-MR scanners are essentially processed separately, but the opportunity to improve accuracy of the tomographic reconstruction via synergy of the two imaging techniques is an active area of research.

In this paper, we present Release 2.1.0 of the CCP-PETMR Synergistic Image Reconstruction Framework (SIRF) software suite, providing an open-source software platform for efficient implementation and validation of novel reconstruction algorithms. SIRF provides user-friendly Python and MATLAB interfaces built on top of C++ libraries. SIRF uses advanced PET and MR reconstruction software packages and tools. Currently, for PET this is Software for Tomographic Image Reconstruction (STIR); for MR, Gadgetron and ISMRMRD; and for image registration tools, NiftyReg. The software aims to be capable of reconstructing images from acquired scanner data, whilst being simple enough to be used for educational purposes.

The most recent version of the software can be downloaded from and

Experiment data files

This data is associated with the following publication:

SIRF: Synergistic Image Reconstruction Framework

Published in: Computer Physics Communications

Latest version

  • Version 1


    Published: 2020-01-09

    DOI: 10.17632/s45f5jh55j.1

    Cite this dataset

    Ovtchinnikov, Evgueni; Brown, Richard; Kolbitsch, Christoph; Pasca, Edoardo; da Costa-Luis, Casper; Gillman, Ashley G.; Thomas, Benjamin A.; Efthimiou, Nikos; Mayer, Johannes; Wadhwa, Palak; Ehrhardt, Matthias J.; Ellis, Sam; Jørgensen, Jakob S.; Matthews, Julian; Prieto, Claudia; Reader, Andrew J.; Tsoumpas, Charalampos; Turner, Martin; Atkinson, David; Thielemans, Kris (2020), “SIRF: Synergistic Image Reconstruction Framework”, Mendeley Data, v1


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Computational Physics, Medical Imaging, Image Reconstruction, Open Source Software


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The files associated with this dataset are licensed under a GNU Public License Version 3 licence.

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