NiftyPET specifications

Information


Unique identifier OMICS_25675
Name NiftyPET
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data The current estimate of radioactivity distribution and the μ-map images.
Operating system Unix/Linux, Windows
Programming languages Python
Parallelization CUDA
License Apache License version 2.0, BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Stability Stable
Requirements scipy, numpy, math, nibabel, pydicom, matplotlib
Maintained Yes

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Maintainer


  • person_outline Pawel Markiewicz <>

Publication for NiftyPET

NiftyPET institution(s)
Translational Imaging Group, CMIC, Department of Medical Physics, Biomedical Engineering, University College London, London, UK; Department for Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK; Institute of Nuclear Medicine, University College London, London, UK; Dementia Research Centre, University College London, London, UK; Centre for Medical Imaging, University College London, London, UK; Centre for Medical Image Computing (CMIC), University College London, London, UK
NiftyPET funding source(s)
Supported by the MRC Dementias Platform UK (MR/N025792/1), the MRC (MR/J01107X/1, CSUB19166), the EPSRC (EP/H046410/1, EP/J020990/1, EP/K005278, EP/M022587/1), AMYPAD (European Commission project ID: ID115952, H2020-EU.3.1.7. - Innovative Medicines Initiative 2), the EU-FP7 project [email protected] (FP7- ICT-2011-9-601055), the NIHR Biomedical Research Unit (Dementia) at UCL and the National Institute for Health Research University College London Hospitals Biomedical Research Centre (NIHR BRC UCLH/UCL High Impact Initiative- BW.mn.BRC10269), the NIHR Queen Square Dementia BRU, Wolfson Foundation, ARUK (ARUKNetwork 2012-6-ICE; ARUK-PG2014-1946), European Commission (H2020-PHC-2014-2015-666992), the Dementia Research Centre as an ARUK coordinating centre; by the Leverhulme Trust project ’Breaking the non-convexity barrier’, EPSRC grant ’EP/M00483X/1’, EPSRC centre ’EP/N014588/1’, the Cantab Capital Institute for the Mathematics of Information, and from CHiPS (Horizon 2020 RISE project grant).

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