PET-MR Dataset

PET-MR Dataset

Florian Knoll

This is an in-vivo PET-MRI dataset from a Siemens Biograph mMr that was used in the experiments for Figure 8 in the paper Joint MR-PET reconstruction using a multi-channel image regularizer.
The data come from a brain FDG-PET scan with a duration of 10 minutes, together with an undersampled MPRAGE MR scan. The dataset also includes MR-receive coil sensitivity maps and PET attenuation correction maps and scatter estimates. The code to reproduce the corresponding reconstruction can be downloaded from github. A more detailed description of the contents of the data file and how to use them is included in the readme of the code package.

Related Publication

F Knoll, M Holler, T Koesters, R Otazo, K Bredies, DK Sodickson. Joint MR-PET reconstruction using a multi-channel image regularizer. IEEE Transactions on Medical Imaging 36: 1-16 (2017)


PLEASE NOTE: The software available on this page is provided free of charge and comes without any warranty. CAI²R and the NYU School of Medicine do not take any liability for problems or damage of any kind resulting from the use of the files provided. Operation of the software is solely at the user's own risk. The software developments provided are not medical products and must not be used for making diagnostic decisions.

The software is provided for non-commercial, academic use only. Usage or distribution of the software for commercial purpose is prohibited. All rights belong to the author (Florian Knoll) and the NYU School of Medicine. If you use the software for academic work, please give credit to the author in publications and cite the related publications.

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Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Bernard and Irene Schwartz

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