• DocumentCode
    239881
  • Title

    Modelling of the MRI perfusion process of human head

  • Author

    Sederevicius, Donatas ; Meilunas, Mecislavas ; Usinskas, Andrius ; Usinskiene, Jurgita

  • Author_Institution
    Dept. of Comput. Sci. II, Vilnius Univ., Vilnius, Lithuania
  • fYear
    2014
  • fDate
    28-29 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In the paper two models of the brain perfusion for dynamic susceptibility contrast magnetic resonance imaging technique are introduced. Estimation of the cerebral perfusion parameters is done by two approaches. Both approaches are based on non-linear regression method. Parametric maps of perfusion parameters are given and compared. In conclusion it is resumed what factors can effect the final results.
  • Keywords
    biomedical MRI; brain; haemodynamics; haemorheology; parameter estimation; physiological models; regression analysis; MRI perfusion modelling; brain perfusion model; cerebral perfusion parameter estimation; dynamic susceptibility contrast magnetic resonance imaging; human head; nonlinear regression; parametric map; Brain models; Deconvolution; Imaging; Least squares approximations; Mathematical model; cerebral blood flow; cerebral blood volume; dynamic susceptibility contrast magnetic resonance imaging; mean transit time; non-linear regression; perfusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Electronic and Electrical Engineering (AIEEE), 2014 IEEE 2nd Workshop on Advances in
  • Conference_Location
    Vilnius
  • Type

    conf

  • DOI
    10.1109/AIEEE.2014.7020325
  • Filename
    7020325