{"id":24547052,"url":"https://github.com/niftypet/niftypet","last_synced_at":"2026-01-25T08:31:23.886Z","repository":{"id":45214827,"uuid":"158295795","full_name":"NiftyPET/NiftyPET","owner":"NiftyPET","description":"High-throughput Python platform for image reconstruction and analysis","archived":false,"fork":false,"pushed_at":"2024-11-27T07:44:03.000Z","size":7330,"stargazers_count":44,"open_issues_count":24,"forks_count":6,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-02-25T12:40:20.598Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NiftyPET.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-11-19T22:01:41.000Z","updated_at":"2024-12-14T05:02:49.000Z","dependencies_parsed_at":"2022-08-29T08:31:48.548Z","dependency_job_id":"2e3a67a6-3a51-41e7-89b1-a91aba016cdf","html_url":"https://github.com/NiftyPET/NiftyPET","commit_stats":{"total_commits":120,"total_committers":3,"mean_commits":40.0,"dds":0.475,"last_synced_commit":"4a1067aa522c89093b498168314b5c779c29fe0c"},"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiftyPET%2FNiftyPET","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiftyPET%2FNiftyPET/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiftyPET%2FNiftyPET/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiftyPET%2FNiftyPET/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NiftyPET","download_url":"https://codeload.github.com/NiftyPET/NiftyPET/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243852945,"owners_count":20358341,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-22T22:18:18.207Z","updated_at":"2026-01-25T08:31:23.859Z","avatar_url":"https://github.com/NiftyPET.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"|UCL|\n\n===========================================================\nNiftyPET: High-throughput image reconstruction and analysis\n===========================================================\n\n|Docs| |Tests|\n\n**Documentation**: https://niftypet.readthedocs.io\n\n|brain1| |brain2|\n\n.. ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::\n.. taken from docs/highlights.rst\n\n*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* [*]_.\n\n*NiftyPET* includes two packages:\n\n- ``nimpa``:  https://github.com/NiftyPET/NIMPA (neuro-image manipulation, processing and analysis)\n- ``nipet``:  https://github.com/NiftyPET/NIPET (quantitative PET neuro-image reconstruction)\n\nThe 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:\n\n- *NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis* Neuroinformatics (2018) 16:95. https://doi.org/10.1007/s12021-017-9352-y\n- *Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis* Physics in Medicine \u0026 Biology (2016). https://doi.org/10.1088/0031-9155/61/13/N322\n\n.. [*] The above dynamic transaxial and coronal images show the activity of  :sup:`18`\\ F-florbetapir during the one-hour dynamic acquisition.  Note that the signal in the brain white matter dominates over the signal in the grey matter towards the end of the acquisition, which is a typical presentation of a negative amyloid beta (Abeta) scan.\n\n.. ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::\n\n\n================\nAcknowledgements\n================\n\nThis project is being developed at University College London (`UCL \u003chttps://www.ucl.ac.uk/\u003e`_). Initially, it was supported and funded by the Engineering and Physical Sciences Research Council (`EPSRC \u003chttps://epsrc.ukri.org/\u003e`_) of the United Kingdom (UK).  Currently, the project is being further developed under the following funding streams:\n\n1. The `Innovative Medicines Initiative 2 \u003chttps://www.imi.europa.eu/about-imi\u003e`_ Joint Undertaking under grant agreement No 115952. This Joint Undertaking receives support from the European Union’s `Horizon 2020 \u003chttps://ec.europa.eu/programmes/horizon2020/en/\u003e`_ research and innovation programme and `EFPIA \u003chttps://www.efpia.eu/\u003e`_.\n\n2. The `Dementias Platform UK \u003chttps://www.dementiasplatform.uk/\u003e`_ `MR-PET Partnership \u003chttps://gtr.ukri.org/projects?ref=MR%2FN025792%2F1\u003e`_, supported by the Medical Research Council (`MRC \u003chttps://mrc.ukri.org/\u003e`_) in the UK.\n\nWe gratefully acknowledge the support of `NVIDIA Corporation \u003chttps://www.nvidia.com\u003e`_  with the donation of the Tesla K20 and Titan X Pascal GPUs used for this research and work.\n\n+----------+----------+----------+\n| |AMYPAD| | |DPUK|   | |NVIDIA| |\n+----------+----------+----------+\n| |EFPIA|  | |IMI|    | |EU|     |\n+----------+----------+----------+\n\n|Licence|\n\nCopyright 2018-21\n\n- `Pawel J. Markiewicz \u003chttps://github.com/pjmark\u003e`__ @ University College London\n- `Casper O. da Costa-Luis \u003chttps://github.com/casperdcl\u003e`__ @ King's College London\n- `Contributors \u003chttps://github.com/NiftyPET/NiftyPET/graphs/contributors\u003e`__\n\n.. |Docs| image:: https://readthedocs.org/projects/niftypet/badge/?version=latest\n   :target: https://niftypet.readthedocs.io/en/latest\n.. |Tests| image:: https://img.shields.io/github/workflow/status/NiftyPET/NiftyPET/Test?logo=GitHub\n   :target: https://github.com/NiftyPET/NiftyPET/actions\n.. |Licence| image:: https://img.shields.io/pypi/l/niftypet.svg?label=licence\n   :target: https://github.com/NiftyPET/NiftyPET/blob/master/LICENCE\n.. |brain1| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/images/gim_magna_t.gif\n   :width: 45%\n.. |brain2| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/images/gim_magna_c.gif\n   :width: 45%\n.. |UCL| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/logos/ucl.png\n   :target: https://www.ucl.ac.uk\n.. |NVIDIA| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/logos/Nvidia_logo.png\n   :target: https://www.nvidia.com/en-us/research\n.. |EFPIA| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/logos/efpia.jpg\n   :target: https://www.efpia.eu/\n.. |IMI| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/logos/imi.jpg\n   :target: https://www.imi.europa.eu/\n.. |EU| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/logos/eu.png\n   :target: https://europa.eu/european-union/index_en\n.. |AMYPAD| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/logos/amypad.jpg\n   :target: https://amypad.eu/\n.. |DPUK| image:: https://raw.githubusercontent.com/NiftyPET/NiftyPET/master/docs/logos/dpuk.jpg\n   :target: https://www.dementiasplatform.uk\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniftypet%2Fniftypet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fniftypet%2Fniftypet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniftypet%2Fniftypet/lists"}