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An Iterative Method for the Determination of Temperature Distribution in Patients Undergoing Brain Magnetic Resonance Imaging (MRI) Examinations

By Theresa B. Dery, Emmanuel O. Darko, Joseph K. Amoako and Augustine K. Kyere


To measure directly, the temperature within the human brain is difficult because of the inherent problems associated with recording physiological variables during the operation of an MR scanner. The main aim of this study is to use numerical method to predict the temperature distribution in the brain of MRI patients. One hundred and twenty-six (126) patients were assessed at Diagnostic Imaging Centre and 37 Military Hospital, Ghana. A modified Pennes ’ bio-heat equation was solved using an iterative method based on the finite difference method (FDM) and MATLAB programming language theoretically and experimental results were used to validate the model. Results from the numerical model showed an average change in temperature of 0.03 °C, 0.04 °C, 0.07 °C and 0.08 °C for SAR values of 0.1 W/kg, 0.4 W/kg, 1.4 W/kg and 1.6 W/kg respectively. The results regarding the steady state temperature distribution, specific absorption rate and temperature rise compared and validated with the experimental data were all within acceptable safe levels. Key-words: finite difference method (FDM), bio-heat equation, temperature distribution, MATLAB Software 1

Year: 2014
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