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Title:

100GB DRF-Simulated Input CSR Matrix and Sinogram for MLEM Algorithm

Document type:
Forschungsdaten
Responsible:
Yang, Dai
Authors:
Küstner, Tilman; Yang, Dai;
Author affiliation:
Technical University of Munich, Department of Informatics, Chair of Computer Architecture and Parallel Systems
Publisher:
TUM
Identifier:
doi:10.14459/2019mp1523005
End date of data production:
29.10.2019
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Statistik und Referenzdaten / statistics and reference data
Data type:
Datenbanken / data bases
Description:
This dataset includes simulated PET Scanner Description Matrix using the DRF method, and the corresponding Listmode-Sinogram for benchmarking of the MLEM algorithm. The size of the matrix is 92 GB which is suitable for large-scale runs.
Links:

Source code on GitHub

Technical remarks:
View and download (91.8 GB total, 2 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1523005):
rsync rsync://m1523005@dataserv.ub.tum.de/m1523005/
Language:
en
Rights:
by-sa, http://creativecommons.org/licenses/by-sa/4.0
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