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Comparison of Brain Temperature Distribution in Mathematical and Solid Models of Head Thermal Characteristics
Author(s) -
Takagi Yutaka,
Honma Satoru,
Wakamatsu Hidetoshi,
Ito Minami
Publication year - 2015
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22642
Subject(s) - thermal conduction , human head , brain tissue , mathematical model , mechanics , materials science , distribution (mathematics) , biomedical engineering , computer science , biological system , physics , thermodynamics , mathematics , engineering , mathematical analysis , finite element method , quantum mechanics , biology
SUMMARY Accurate temperature control of brain tissue during hypothermia treatment is necessary in order to prevent secondary brain damage and to avoid various side effects. Thus, the visualization of the intracerebral temperature distribution in hypothermia treatment was studied at the fundamental level. For this purpose a virtual reality technology was used to create a mathematical model that reflects metabolic heat production and Fourier heat conduction in a brain with the necessary parameters based on various clinical models. In the present study, an experimental system was developed to examine a mathematical simulation of the blood flow in a human head by using a solid brain model constructed using silicon rubber in the shape of a brain based on MRI data, taking into account the metabolic heat given off by three film heaters and including six sensors for the measurement of regional brain temperature. The mathematical simulation describes the internal temperature distribution in a brain with a similar structure to the brain solid model. The results of mathematical simulations and experiments using the brain solid model were quite consistent in the steady state, including control of regional temperature. This allows for the performance of heat conduction experiments under conditions similar to those of a living body, in which the internal temperature is clinically difficult to observe. Thus, the mathematical simulation is confirmed to be useful together with experiments using the solid model for the study of future brain hypothermia treatment.

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