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Dataset . 2021
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
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4DMRI moving lung meshes

Authors: Duetschler, Alisha; Krieger, Miriam; Giger, Alina; Salomir, Rares; Jud, Christoph; Cattin, Philippe C; Lomax, Antony J; +1 Authors

4DMRI moving lung meshes

Abstract

Moving lung meshes extracted from 4DMRIs The newest version of the dataset and the documentation can be found on https://gitlab.psi.ch/duetschler_a/4DMRI_moving_lung_meshes. The moving lung meshes can for example be used to generate synthetic 4DCT(MRI)s. The code for generating 4DCT(MRI)s using a reference CT and the moving lung mesh data can be found on https://gitlab.psi.ch/duetschler_a/4DCT-MRI. Please cite the following publication when using the data: Duetschler, A., Bauman, G., Bieri, O., Cattin, P.C., Ehrbar, S., Engin-Deniz, G., Giger, A., Josipovic, M., Jud, C., Krieger, M., Nguyen, D., Persson, G.F., Salomir, R., Weber, D.C., Lomax, A.J. and Zhang, Y. (2022), Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations. Med. Phys.. https://doi.org/10.1002/mp.15591

This project is funded by Krebsliga Schweiz (KFS-4517-08-2018) and the Swiss National Science Foundation, SNSF (project number 320030 163330/1).

Related Organizations
Keywords

4DMRI, 4D numerical phantom, proton therapy, intrafraction motion, 4D imaging, radiotherapy, lung

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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