After the success of previous years, there will be a (free) training school on PET/MR image reconstruction on Sunday 14th of April, organised by the CCP PET-MR team. The school will cover basic principles of the physics behind the acquisition process and image reconstruction methods used for both PET and MR.

We are delighted to announce the winners of the prizes for the top 3 active contributors to the CCP PET-MR software framework and all that pertains to it, for the period June 2017 - December 2018. These 3 prizes (named gold, silver and bronze, of values £400, £200 and £100 respectively) are awarded annually to the top 3 contributors (early career researchers) to the project, whether for contributions in software, education or administrative matters.

We are delighted to announce the release of our Synergistic Image Reconstruction Framework (SIRF) Version 1.1.1.

A complete list of changes can be found in our CHANGES file.

Please visit http://www.ccppetmr.ac.uk/softwareframework.html for further information and links, including a list with our planned timelines.

We are delighted to announce the release of our Synergistic Image Reconstruction Framework (SIRF) Version 1.0.0.

The main change since Release 0.9.2 is the addition of initial support of Siemens mMR PET data (no scatter correction nor bed/head holder information yet). A more complete list can be found in our CHANGES file.

We are delighted to announce the third release candidate of our Synergistic Image Reconstruction Framework (SIRF) Version 1.0.0.

The main change since Release 0.9.2 is the addition of initial support of Siemens mMR PET data (no scatter correction nor bed/head holder information yet). A more complete list can be found in our CHANGES file.

We are delighted to announce the first release candidate of our Synergistic Image Reconstruction Framework (SIRF) Version 1.0.0.

The main change since Release 0.9.2 is the addition of initial support of Siemens mMR PET data (no scatter correction nor bed/head holder information yet). A more complete list can be found in our CHANGES file.

The main STIR paper

Kris Thielemans, Charalampos Tsoumpas, Sanida Mustafovic, Tobias Beisel, Pablo Aguiar, Nikolaos Dikaios, and Matthew W Jacobson, 
STIR: Software for Tomographic Image Reconstruction Release 2, 
Physics in Medicine and Biology, 57 (4), 2012 pp.867-883.

We are delighted to announce the release of our Synergistic Image Reconstruction Framework (SIRF) Version 0.9.2.

The only changes from Release 0.9.1 are small last minute bug fixes. We recommend to use Release 0.9.2 Virtual Machine and not Release 0.9.1 VM.

The summary of main changes since Release 0.9.0 is as follows:

Our proposal “A framework for efficient synergistic spatiotemporal reconstruction of PET-MR dynamic data” was successful. This 32 month project will start end of September and will fully integrate with CCP PETMR activities.