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