Mohammed, Bazhdar N. and Ismael, Dilshad S. (2022) A Computational Model for Temperature Monitoring During Human Liver Treatment by Nd:YaG Laser Interstitial Thermal Therapy (LITT). ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 10 (2). pp. 38-44. ISSN 2410-9355
Text (Research Article)
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Abstract
Describing heat transfer in biological organs is absolutely challenging because it is involved with many complex phenomena. Therefore, understanding the optical and thermal properties of living system during external irradiation sources such as laser interstitial thermal therapy (LITT) are too important for therapeutic purposes, especially for hyperthermia treatments. The purpose of this study was to determine a proper laser power and irradiation time for LITT applicator to irradiate liver tissue during hyperthermia treatment. For this aim, bioheat equation in one-dimensional spherical coordinate is solved by Green function method to simulate temperature distribution and rate of damage around irradiated target and how thermal and optical properties such as laser power, laser exposure time, and blood perfusion rate affect the rate of temperature distribution. Guiding equations according to the suggested boundary conditions are written and solved by MATLAB software. The outcomes show that increasing laser exposure time and power increase the temperature, especially at the nearest distance from the center of diffusion. Accordingly, a decrease in blood perfusion rate leads to decrease temperature distribution. The findings show that the model is useful to help the physicians to monitor the amount of heat diffusion by laser power during the treatment to protect healthy cells.
Item Type: | Article |
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Uncontrolled Keywords: | Bioheat equation, Computational simulation, Green function, Hyperthermia, Laser interstitial thermal therapy |
Subjects: | Q Science > QC Physics |
Divisions: | ARO-The Scientific Journal of Koya University > VOL 10, NO 2 (2022) |
Depositing User: | Dr Salah Ismaeel Yahya |
Date Deposited: | 18 Oct 2022 08:50 |
Last Modified: | 18 Oct 2022 08:50 |
URI: | http://eprints.koyauniversity.org/id/eprint/330 |
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