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PeneloPET v3.0, an improved multiplatform PET Simulator

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López Montes, Alejandro and López Herraiz, Joaquín and Galve Lahoz, Pablo and España Palomares, Samuel and Vicente, Esther and Cal Gonzalez, Jacobo and Udías Moinelo, José Manuel (2019) PeneloPET v3.0, an improved multiplatform PET Simulator. IEEE Nuclear Science Symposium conference record . ISSN 1095-7863

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Official URL: https://doi.org/10.1109/NSS/MIC42101.2019.9059837




Abstract

PeneloPET is a Monte Carlo simulation tool for positron emission tomography based on PENELOPE. It was developed by the Nuclear Physics Group at University Complutense of Madrid and its initial version was released in 2009. In this work, we present PeneloPET v3.0, which is now available precompiled for Microsoft Windows, MacOS and Linux OS. This new release includes improved simulations of the positron range in different materials and an accurate description of the decay cascades for many radioactive nuclei including the most common non-pure positron emitters used in PET. This enables the simulation of PET acquisitions with positron-gamma emitters. This release also includes many different fully-working examples, of both clinical and preclinical scanners, as well as several numerical phantoms. Due to the simplicity of the input the output files, and the installation process, PeneloPET v3.0 can be perfectly used not only for research, but also as an educational tool in class.


Item Type:Article
Additional Information:

IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2019. Manchester, England). This is a contribution to the Moncloa Campus of International Excellence. Part of the calculations of this work were performed in the "Cluster de Cálculo para Técnicas Físicas" funded in part by UCM and in part by UE Regional Funds. We acknowledge support from the Spanish Government (FPA2015-65035-P, RTC-2015-37722), from Comunidad de Madrid (S2013/MIT-3024 TOPUS-CM, B2017/BMD-3888 PRONTO-CM) and European Regional Funds. This work is also supported by EU's H2020 under MediNet, a Networking Activity of ENSAR-2 (grant agreement 654002). This work is also supported by NIH R01 CA215700-2 grant.

Uncontrolled Keywords:Nuclear Science & Technology; Radiology, Nuclear Medicine & Medical Imaging
Subjects:Sciences > Physics > Nuclear physics
ID Code:62938
Deposited On:19 Nov 2020 09:42
Last Modified:19 Nov 2020 12:05

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