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
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;
Conference_Titel :
Information, Electronic and Electrical Engineering (AIEEE), 2014 IEEE 2nd Workshop on Advances in
Conference_Location :
Vilnius
DOI :
10.1109/AIEEE.2014.7020325
