An Efficient Deterministic-Stochastic Model for the Homogeneous Human Brain Model Dosimetry: ANOVA Approaches for Sensitivity Analysis of Model Parameters (CROSBI ID 652841)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa
Podaci o odgovornosti
Šušnjara, Anna ; Cvetković, Mario ; Poljak, Dragan ; Lallechere, Sebastien ; Drissi, Khalil El Khamlichi
engleski
An Efficient Deterministic-Stochastic Model for the Homogeneous Human Brain Model Dosimetry: ANOVA Approaches for Sensitivity Analysis of Model Parameters
In high frequency dosimetry of human brain it is necessary to develop computational models to estimate the temperature distribution inside the brain, since its direct measurement is not possible. In order to describe an interaction between the high frequency electromagnetic field and the human brain, models may become very complex with numerous input variables whose values are rarely exactly known. It is important to have a good understanding of the relationship between the input and output parameters. In this paper ANalysis Of Variance (ANOVA) approach coupled with the stochastic collocation (SC) expansion method is applied on homogeneous human brain model in order to obtain a sensitivity analysis (SA) of input parameters. The results enable the ranking of the parameters from the most to the least significant ones. Moreover, the impact of the mutual interaction of input variables is obtained.
Analysis of variance ; High frequency dosimetry ; Human brain model ; Sensitivity analysis ; Stochastic collocation
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Podaci o prilogu
34-35.
2017.
objavljeno
Podaci o matičnoj publikaciji
Booklet of abstracts SPAS 2017
Västerås:
Podaci o skupu
International Conference "Stochastic Processes and Algebraic Structures" - From Theory Towards Applications SPAS2017
predavanje
04.10.2017-06.10.2017
Västerås, Švedska; Stockholm, Švedska