CASToR (http://www.castor-project.org/ ) is based on a generic organization and processing framework for iterative tomographic reconstruction of multi-modal (PET, SPECT and CT) and multi-dimensional (static, dynamic, gated) data. This framework is new in the sense that it is entirely generic: (i) it makes use of a single iterative core algorithm able to process dynamic data sets for any modality and data type, (ii) this algorithm can use any projection model and optimization scheme, and (iii) any particular scanner geometry can be reconstructed. It has been implemented as an open-source C++ platform that makes extensive use of abstraction, favouring modularity and extensibility, while avoiding duplication and/or limited use of code. A special effort has been made in finding the best compromise between genericity and computational efficiency.

 

This meeting will start with an introduction to CASToR by Dr Simon Stute, one of the main developers. We will then discuss differences with SIRF and STIR,  if it would be of interest to integrate CASToR into SIRF and how this might be accomplished.

 

CV: Simon Stute is a researcher at the French Atomic Energy Commission at Orsay, France. He is working inside the Service Hospitalier Frederic Joliot. His research interests are mainly focused on tomographic image reconstruction, from theoretical to applied developments. He received his PhD degree from Paris-Sud University in 2010 and has a background of applied computer sciences in the field of modelling and simulations in physics.