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Inverse estimation of model parametersfor newborn brain cooling process simulations

Bandoła Dominika, Ostrowski Ziemowit, Rojczyk Marek, Walas Wojciech, Halaba Zenon, Nowak Andrzej J.

Computer Assisted Methods in Engineering and Science

2019

Vol. 26, no. 2

93--104

In this work, a three-dimensional simplified computational model was built to simulate the passive thermo-physiological response of part of a newborn’s head for neonate’s selective brain cooling. Both metabolicheat generation and blood perfusion were considered. The set of model parameters was selected anda sensitivity study was carried out. Analysis of dimensionless sensitivity coefficients showed that the mostimportant are: the contact thermal resistance between the cool-cap and skin, the thermal resistance ofthe plastic wall material, and deep (arterial) blood temperature. The function specification method wasapplied to estimate the value of the contact resistance. Two, four and six computationally simulated mea-surements with different uncertainties were used to adjust random contact resistance value to the assumedone. Results showed that when using only two measurements having 2% of the uncertainty, the error ofestimation does not exceed 9.8%. However, when using six measurements having 1% of uncertainty, theresulting estimation is burdened with an error of 0.3% only.

Sensitivity analysis of transient bioheat transfer with perfusion rate dependent on tissue injury

Jasiński M.

Computer Assisted Mechanics and Engineering Sciences

2009

Vol. 16, No. 3/4

267-277

The sensitivity analysis of transient temperature field in the tissue domain with respect to its thermophysical parameters is discussed. In particular, the influence of tissue specific heat, thermal conductivity, perfusion rate and metabolic heat source on the temperature distribution is considered. In order to determine the influence of variations of these parameters on temperature distribution the direct approach of sensitivity analysis is applied. Perfusion rate is treated as dependent on tissue injury which is estimated on the basis of Arrhenius integral. On the stage of numerical realization the boundary element method is used. In the final part of paper the results obtained are shown.