Literature DB >> 19242053

PeneloPET, a Monte Carlo PET simulation tool based on PENELOPE: features and validation.

S España1, J L Herraiz, E Vicente, J J Vaquero, M Desco, J M Udias.   

Abstract

Monte Carlo simulations play an important role in positron emission tomography (PET) imaging, as an essential tool for the research and development of new scanners and for advanced image reconstruction. PeneloPET, a PET-dedicated Monte Carlo tool, is presented and validated in this work. PeneloPET is based on PENELOPE, a Monte Carlo code for the simulation of the transport in matter of electrons, positrons and photons, with energies from a few hundred eV to 1 GeV. PENELOPE is robust, fast and very accurate, but it may be unfriendly to people not acquainted with the FORTRAN programming language. PeneloPET is an easy-to-use application which allows comprehensive simulations of PET systems within PENELOPE. Complex and realistic simulations can be set by modifying a few simple input text files. Different levels of output data are available for analysis, from sinogram and lines-of-response (LORs) histogramming to fully detailed list mode. These data can be further exploited with the preferred programming language, including ROOT. PeneloPET simulates PET systems based on crystal array blocks coupled to photodetectors and allows the user to define radioactive sources, detectors, shielding and other parts of the scanner. The acquisition chain is simulated in high level detail; for instance, the electronic processing can include pile-up rejection mechanisms and time stamping of events, if desired. This paper describes PeneloPET and shows the results of extensive validations and comparisons of simulations against real measurements from commercial acquisition systems. PeneloPET is being extensively employed to improve the image quality of commercial PET systems and for the development of new ones.

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Year:  2009        PMID: 19242053     DOI: 10.1088/0031-9155/54/6/021

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Improved quantification for local regions of interest in preclinical PET imaging.

Authors:  J Cal-González; S C Moore; M-A Park; J L Herraiz; J J Vaquero; M Desco; J M Udias
Journal:  Phys Med Biol       Date:  2015-09-03       Impact factor: 3.609

Review 2.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

3.  Assessment of the Radiation Attenuation Properties of Several Lead Free Composites by Monte Carlo Simulation.

Authors:  M Kazempour; M Saeedimoghadam; F Shekoohi Shooli; N Shokrpour
Journal:  J Biomed Phys Eng       Date:  2015-06-01

4.  PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods.

Authors:  Beatrice Berthon; Ida Häggström; Aditya Apte; Bradley J Beattie; Assen S Kirov; John L Humm; Christopher Marshall; Emiliano Spezi; Anne Larsson; C Ross Schmidtlein
Journal:  Phys Med       Date:  2015-08-28       Impact factor: 2.685

5.  A feasibility study of ortho-positronium decays measurement with the J-PET scanner based on plastic scintillators.

Authors:  D Kamińska; A Gajos; E Czerwiński; D Alfs; T Bednarski; P Białas; C Curceanu; K Dulski; B Głowacz; N Gupta-Sharma; M Gorgol; B C Hiesmayr; B Jasińska; G Korcyl; P Kowalski; W Krzemień; N Krawczyk; E Kubicz; M Mohammed; Sz Niedźwiecki; M Pawlik-Niedźwiecka; L Raczyński; Z Rudy; M Silarski; A Wieczorek; W Wiślicki; B Zgardzińska; M Zieliński; P Moskal
Journal:  Eur Phys J C Part Fields       Date:  2016-08-09       Impact factor: 4.590

6.  SMART (SiMulAtion and ReconsTruction) PET: an efficient PET simulation-reconstruction tool.

Authors:  Elisabeth Pfaehler; Johan R De Jong; Rudi A J O Dierckx; Floris H P van Velden; Ronald Boellaard
Journal:  EJNMMI Phys       Date:  2018-09-18
  6 in total

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