SIRF: Synergistic Image Reconstruction Framework

Evgueni Ovtchinnikov, David Atkinson, Christoph Kolbitsch, Benjamin A. Thomas, Ottavia Bertolli, Casper O. da Costa-Luis, Nikolaos Efthimiou, Ronald Fowler, Edoardo Pasca, Palak Wadhwa, Elise Emond, Julian Matthews, Claudia Prieto, Andrew J. Reader, Charalampos Tsoumpas, Martin Turner, Kris Thielemans*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

2 Citations (Scopus)


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 and MR scanners are essentially processed separately, andthe search for ways to improve accuracy of the tomographicreconstruction via synergy of the two imaging techniques is an active areaof research. The aim of the collaborative computational project on PET and MR (CCP-PETMR), supported by the UK engineering and physical sciences research council (EPSRC), is to accelerate research in synergistic PET-MR image reconstruction by providing an open access software platform for efficient implementation and validation of novel reconstruction algorithms. In this paper, we present the first release of the Synergistic Image Reconstruction Framework (SIRF) software suite from the CCP-PETMR. SIRF provides user-friendly Python and MATLAB interfaces to advanced PET and MR reconstruction packages written in C}+ \quad +textbf{{(currently this uses STIR, Software for Tomographic Image Reconstruction, for PET and Gadgetron for MR, but SIRF will be able to link to other reconstruction engines in the future as appropriate). The software is capable of reconstructing images from real scanner data. Both of the available integrated clinical PET-MR systems (Siemens and GE) are being targeted, and a suitable dataformat exchange is being negotiated with the manufacturers.

Original languageEnglish
Title of host publication2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538622827
ISBN (Print)9781538622834
Publication statusPublished - Nov 2018
Event2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Atlanta, United States
Duration: 21 Oct 201728 Oct 2017


Conference2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017
Country/TerritoryUnited States


  • Magnetic Resonance Imaging
  • Positron Emission Tomography
  • Research Software Engineering
  • Scientific Programming


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