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ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
OPTIMIZATION OF THERMAL ABLATION OF BIOLOGICAL TISSUES WITH HIGH INTENSITY FOCUSED ULTRASOUND
Submission Author:
Rodrigo Lima de Souza e Silva , RJ , Brazil
Co-Authors:
Rodrigo Lima de Souza e Silva, mohsen alaeian, Helcio Orlande
Presenter: Rodrigo Lima de Souza e Silva
doi://10.26678/ABCM.ENCIT2020.CIT20-0151
Abstract
In clinical applications, thermal ablation consists of removal or destruction of a specific tissue by heat. Different heat sources can be used to increase the temperature of biological tissues during thermal ablation. High Intensity Focused Ultrasound (HIFU) is a non-invasive thermal ablation technique that has minimal or no side-effects. In this study, a numerical simulation of the HIFU treatment of a tumor was developed, aiming at predicting the necrotic tissue region. The acoustic problem was simulated with the numerical solution of the mass and momentum conservation equations. The temperature field was obtained by solving Pennes’ bioheat equation with the finite difference method, by neglecting bubble dynamics and cavitation effects, followed by the calculation of the thermal damage. The size, shape and location of the necrotic tissue were predicted, for specific transducer heating rate and heating time, which were required for the thermal ablation of the desired region. The numerical solution obtained in this work was verified with the analytical solution of a similar problem in an homogeneous medium. The thermal ablation process was then optimized under uncertainties in the model parameters by using the Markov chain Monte Carlo method.
Keywords
high intensity focused ultrasound, thermal ablation, optimization under uncertainties, Markov chain Monte Carlo method
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