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Abstrakty
EN
We discuss computing issues for data analysis and image reconstruction of positron emission tomography based on time-of-flight medical scanner or other medical scanning devices producing large volumes of data. Service architecture based on grid and cloud concepts for distributed processing is proposed and critically discussed.
Rocznik
Strony
53--58
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
autor
  • Świerk Computing Centre, National Centre for Nuclear Research, Otwock-Swierk, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Chemistry, Jagiellonian University, Kraków, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Faculty of Chemistry, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Świerk Computing Centre, National Centre for Nuclear Research, Otwock-Swierk, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Chemistry, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Świerk Computing Centre, National Centre for Nuclear Research, Otwock-Swierk, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Institute of Metallurgy and Materials Science of Polish Academy of Sciences, Krakow, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
autor
  • Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
Bibliografia
  • 1. Cancer control: knowledge into action. Early detection. Geneva, CH: World Health Organization, 2004.
  • 2. Moskal P, Bednarski T, Białas P, Ciszewska M, Czerwiński E, Heczko A, et al. Strip-PET: a novel detector concept for the TOF-PET scanner. Nucl Med Rev2012;15:C68-9.
  • 3. Moskal P, Bednarski T, Białas P, Ciszewska M, Czerwiński E, Heczko A, et al. TOF-PET detector concept based on organic scintillators. Nucl Med Rev 2012;15:C81-4.
  • 4. Świerk Computing Centre at the National Centre for Nuclear Research, 2014. Available at: http://www.cis.gov.pl. Accessed: 18 Mar 2014.
  • 5. Krzemień W, Silarski M, Stola K, Trybek D, Bednarski T, Białas P, et al. J-PET analysis framework for the prototype TOF-PET detector. Bio-Algorithms Med-Syst 2014;10: 19-25.
  • 6. Boost C++ Libraries, 2013. Available at: http://www.boost.org. Accessed: 18 Mar 2014.
  • 7. Doxygen, 2013. Available at: http://www.doxygen.org. Accessed: 18 Mar 2014.
  • 8. Brun R, Rademaker F. Root - an object oriented data analysis framework. Nucl Instrum Methods A 1997;389: 81-6.
  • 9. Jan S, Santin G, Strut G, Staelens S, Assie K, Autret D, et al. GATE: a simulation toolkit for PET and SPECT. Phys Med Biol 2004;49:4543-62.
  • 10. Agostinelli S, Alison J, Amako K, Apostolakij), Araujo H, Arce P, et al. GEANT4: a simulation toolkit. Nucl Instrum Methods A 2003:506:250-303.
  • 11. Guidance for industry: cybersecurity and networked medical devices. Washington, DC: US Food and Drug Administration, 2005. Available at: http://www.fda.gov/MedicalDevices/Device-RegulationandGuidance/GuidanceDocuments/ucm077812.htm. Accessed: 18 Mar 2014.
  • 12. Jacob B, Brown M, Fukui K, Trivedi N. Introduction to grid computing, 2005. Available at: http://www.redbooks.ibm.com/redbooks/pdfs/sg246778.pdf. Accessed: 18 Mar 2014.
  • 13. Foster I, Kesselman K. The grid 2: blueprint for a new computing infrastructure. Amsterdam, The Netherlands: Elsevier, 2004.
  • 14. Ivanov I, van Sinderen M, Shishkov B. Cloud computing and services science. Berlin: Springer, 2012.
  • 15. Worldwide LHC Computing Grid. 2014. Available at: http://wlcg.web.cern.ch. Accessed: 18 Mar 2014.
  • 16. The Open Science Grid, 2014. Available at: http://www.opensciencegrid.org. Accessed: 18 Mar 2014.
  • 17. Benkner S, Berti G, Engelbrecht G, Fingberg J, Kohring G, Middelton SE, et al. GEMSS: grid infrastructure for medical image provision. Methods Inf Med 2005:44:177-81.
  • 18. Garcia Ruiz M, Garcia Chavez A, Ruiz Ibanez C, Gutierrez Mazo JM, Ramirez Giraldo JC, Pellaes Echavarria A, et al. MantisGRID: a grid platform for DICOM medical images management. J Dig Imaging 2011:24:271-83.
  • 19. The DICOM Grid, 2014. Available at: http://www.dicomgrid.com. Accessed: 18 Mar 2014.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1bd1592b-4c72-4fe4-b94a-daec1bf64c06
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