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Titel:: 100GB DRF-Simulated Input CSR Matrix and Sinogram for MLEM Algorithm
Dokumenttyp:: Forschungsdaten
Verantwortlich:: Yang, Dai
Autorinnen / Autoren:: Küstner, Tilman; Yang, Dai;
Institutionszugehörigkeit:: Technical University of Munich, Department of Informatics, Chair of Computer Architecture and Parallel Systems
Herausgeber:: TUM
Identifikator:: doi:10.14459/2019mp1523005
Enddatum der Datenerzeugung:: 29.10.2019
Fachgebiet:: DAT Datenverarbeitung, Informatik
Quellen der Daten:: Statistik und Referenzdaten / statistics and reference data
Datentyp:: Datenbanken / data bases
Beschreibung:: 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
Technische Hinweise:: 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/
Sprache:: en
Rechte:: by-sa, http://creativecommons.org/licenses/by-sa/4.0

BibTeX

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