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NiftyPET: High-throughput image reconstruction and analysis

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Documentation: https://niftypet.readthedocs.io

brain1 brain2

NiftyPET is a software platform and a Python namespace package encompassing sub-packages for high-throughput PET image reconstruction, manipulation, processing and analysis with high quantitative accuracy and precision. See below for the description of the above image, reconstructed using NiftyPET [*].

NiftyPET includes two packages:

The core routines are written in CUDA C and embedded in Python C extensions. The scientific aspects of this software platform are covered in two open-access publications:

Acknowledgements

This project is being developed at University College London (UCL). Initially, it was supported and funded by the Engineering and Physical Sciences Research Council (EPSRC) of the United Kingdom (UK). Currently, the project is being further developed under the following funding streams:

  1. The Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115952. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.

  2. The Dementias Platform UK MR-PET Partnership, supported by the Medical Research Council (MRC) in the UK.

We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K20 and Titan X Pascal GPUs used for this research and work.

AMYPAD

DPUK

NVIDIA

EFPIA

IMI

EU

Licence

Copyright 2018-21

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