• DocumentCode
    2916828
  • Title

    Application of Tikhonov and MTSVD methods to unfold experimental X-ray spectra in the radiodiagnostic energy range

  • Author

    Querol, A. ; Gallardo, S. ; Ródenas, J. ; Verdú, G.

  • Author_Institution
    Chem. & Nucl. Eng. Dept., Polytech. Univ. of Valencia, Valencia, Spain
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    536
  • Lastpage
    539
  • Abstract
    A thorough knowledge of the primary spectrum is very important for Quality Control (QC) of X-ray tubes. A methodology to assess primary spectrum using a Compton spectrometer has been simulated with the MCNP5 code based on the Monte Carlo (MC) method. The Pulse Height Distribution (PHD) recorded in the detector is related with the primary X-ray spectrum by means of a Response matrix. Tikhonov and Modified Truncated Singular Values Decomposition (MTSVD) unfolding methods have been applied to the Response matrix to assess the primary spectrum. Both methods are tested comparing unfolded results with theoretical spectra from IPEM-78 catalogue.
  • Keywords
    Monte Carlo methods; X-ray detection; X-ray spectra; X-ray tubes; biomedical equipment; diagnostic radiography; singular value decomposition; Monte Carlo method; Tikhonov unfolding method; X-ray spectra; X-ray tubes; modified truncated singular value decomposition unfolding method; primary X-ray spectrum; pulse height distribution; quality control; radiodiagnostic energy range; Anodes; Detectors; Electron tubes; Monte Carlo methods; Photonics; Scattering; Spectroscopy; Computer Simulation; Models, Theoretical; Monte Carlo Method; Quality Control; Radiography; Scattering, Radiation; X-Rays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5626024
  • Filename
    5626024