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NiftyPET · Dec 6, 2021 · 21d37a7 · 21d37a7
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diff --git a/docs/acr_data.rst b/docs/acr_data.rst
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+.. _acr_data-section:
+
+************************
+Raw ACR Phantom PET data
+************************
+
+The PET data of two 30 minute acquisitions of the American College of Radiology (ACR) Jaszczak Deluxe Flangeless ECT phantom (with a modified faceplate for PET) were acquired at the `King's College London & Guy's and St Thomas' PET Centre <http://www.sthpetcentre.org.uk/>`_.  The raw list PET data, including synthetic and MR-based (UTE) |mu|-maps, as well as templates for generating sampling volumes of interest, phantom structural and PET NAC registration templates are freely available at **Zenodo** repository (click the DOI link to download the data) :cite:`Markiewicz2021b`:
+
+   .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5760092.svg
+      :target: https://doi.org/10.5281/zenodo.5760092
+
+
+Citing the data
+---------------
+
+When using this data set for research or publications, please cite the following: :cite:`Markiewicz2021b`:
+
+   * Markiewicz, P. J.; Krokos, G; MacKewn J; Hammers A (2021, Dec 6). ACR PET phantom raw data and templates for advanced analysis. London: Zenodo. https://doi.org/10.5281/zenodo.5760092
+
+.. |mu| unicode:: 0x03BC
diff --git a/docs/citing.rst b/docs/citing.rst
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+
+===============
+Citing NiftyPET
+===============
+
+When using *NiftyPET*, please cite this article:
+
+Markiewicz, P. J., Ehrhardt, M. J., Erlandsson, K., Noonan, P. J., Barnes, A., Schott, J. M., … Ourselin, S. (2018). NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis. Neuroinformatics, 16(1), 95–115. https://doi.org/10.1007/s12021-017-9352-y
diff --git a/docs/science.rst b/docs/science.rst
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+.. _science-section:
+
+=================
+Scientific Output
+=================
+
+Scientific aspects of NiftyPET
+------------------------------
+
+The core routines are written in CUDA C and embedded in Python C extensions to enable user-friendly and high-throughput executions on NVIDIA graphics processing units (GPU).  The scientific aspects of this software platform are covered in two open-access publications:
+
+* *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
+
+* *Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis* Physics in Medicine & Biology (2016). https://doi.org/10.1088/0031-9155/61/13/N322
+
+
+Applications
+------------
+
+* An example application of *NiftyPET* in the development of novel image reconstruction:
+
+  * Markiewicz, P. J., Ehrhardt, M. J., Erlandsson, K., Noonan, P. J., Barnes, A., Schott, J. M., … Ourselin, S. (2018). NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis. Neuroinformatics, 16(1), 95–115. https://doi.org/10.1007/s12021-017-9352-y