Collaborative Computational Project in Synergistic Reconstruction for Biomedical Imaging

Release of SIRF 3.0.0

We are delighted to announce the release of our Synergistic Image Reconstruction Framework (SIRF) Version 3.0.0.

The main changes of the 3.0.0 release are:

  • Addition of `sirf.STIR.ScatterEstimation` and `ScatterSimulation` to allow (non-TOF) scatter estimation in PET.
  • GE Signa PET/MR reading of listmode data, sinograms, normalisation and randoms support added.
  • If STIR is at least version 5 or built from the master branch, Georg Schramm's parallel (computing) projector ( proj) is now made available from SIRF via `AcquisitionModelUsingParallelproj`. This projector uses Joseph interpolation, but importantly it can use your GPU if CUDA was found during building.
  • Extraction of the operator representing the linear part of PET acquisition model and computation of its norm implemented.
  • If `storage_scheme` is set to `memory`, `PETAcquisitionData` allows direct modification, whereas before a copy would need to be created first.
  • Registration of 2d images is now supported with aladin and f3d.
  • Example scripts and data and documentation are installed in SIRF install directory.
  • Dropped Python2 support

A complete list of changes can be found at SIRF v3.0.0 and also SIRF SuperBuild Release v3.0.0. DOI for the software is 10.5281/zenodo.4776289.

Please visit our software framework page for further information and links, including a list with our planned timelines.

Pre-built SIRF Downloads

Pre-built SIRF with Python3 bindings can be downloaded via:

For those who want to build the software natively, we supply a SuperBuild which should work on Linux and Mac (native installation on Windows is possible but still difficult at present unfortunately).

Please try it out and let us know, by mailing to CCP-SYNERBI-USERS@JISCMAIL.AC.UK, whether it worked for you and provide feedback.

Finally, the paper describing SIRF is available at 10.1016/j.cpc.2019.107087 . Our paper on additions for motion correction will be available soon in Part 2 of the Special Theme on Synergistic Image Reconstruction of the Phil. Trans. Ray. Soc. A.

Our Best Regards,

On behalf of the CCP SyneRBI Developers

We are delighted to announce the release of our Synergistic Image Reconstruction Framework (SIRF) Version 3.0.0.
News Date: 
Tuesday, May 25, 2021