For both DCE-MRI and DW-MRI model free and model based parameters were computed pixel by pixel on manually segmented ROIs.
A few remarks must be made: in our study model based parameters were used because they are more strongly related to physiological characteristics of the tissue (perfusion).
Moreover, in our study, in contrast to Cai et al. [ 48, 49], we combined features including model free and model based parameters evaluated by DCE-MRI data and DW-MRI data.
We calibrate the model based on parameters for the United States and the euro area and employ a numerical dynamic programming algorithm to derive the optimal policies.
Then the fully discrete SMFE model based on parameter-free and two local Gauss integrals is described in the following.
We then introduce an induction parameter model based on the two parameter model of Taki and Fujiwara [1] and the work of Oran et al. [2].
We chose the final model based on dispersion parameter within 5% of 1, lower Akaike Information Criterion (AIC) [13] and normality of the distribution of Anscombe residuals [11].
The present report is based on the construction of a 3D motoneuron model based on available parameters applicable to the neonatal spinal cord.
For that purpose, a three degrees-of-freedom substructuring model based on modal parameters is proposed.
A 2D symmetry model based on the parameters of the oriented UTCL was established.
