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Author: search.filters.author.Songkaitiwong, KittiphotSubject: search.filters.subject.Cancer

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    Computational algorithm of high-intensity focused ultrasound beams in cancer tissue model for hyperthermia therapy
    (2020-01-01)
    Songkaitiwong, Kittiphot
    ;
    Locharoenrat, Kitsakorn
    We calculate the acoustic field of a high-intensity focused ultrasound field in a 2D-model of human breast carcinoma and induce temperature elevation for the generation of necrosis. The computational operation is based on the Pennes bioheat concept. This method provides precise heat transfer values based upon thermal conduction in soft tissue and thermal convection in the domain of the blood. An ultrasound beam at 1 MHz was laterally focused on a tumor of 15.0 mm x 28.5 mm at different focal depths without elevational focalization. The length of each focus point of the ultrasound beam was 6.8 - 45.4 mm on the vertical axis, whereas the full width at half maximum was 1.1-2.5 mm on the horizontal axis. Simulated results showed that a discrepancy of the acoustic pressure around the focus area rises with focal depth. Like the pressure profile, when the focal depth is close to the ultrasound source, the thermal homogeneity around the focus area is attained, whereas thermal uniformity around the focus area becomes worse with increasing focal depth. Using the data visualization arrangement, a temperature profile corresponding to the obtained pressure profile is converted to attain a 2D image of a model of human breast carcinoma to show that tumor ablation was achieved and the healthy surrounding tissues were safe.
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    COMPUTATIONAL ALGORITHM of TWO PARALLEL ULTRASOUND BEAMS of 1D CANCER TISSUE MODEL for SAFE and EFFECTIVE HYPERTHERMIA TREATMENT
    (2019-05-01)
    Songkaitiwong, Kittiphot
    ;
    Locharoenrat, Kitsakorn
    The mathematical algorithm of two parallel ultrasound beams on a one-dimensional (1D) cancer tissue model for hyperthermia treatment was created using Matlab software. Physically, the model incorporated two beams; the first beam was permanently placed at the center of the tumor, whereas the other was set between the first beam and the tumor. The computational implementation of this technique relies on the Crank-Nicolson method. This technique is a finite different method that offers an exact heat transfer calculation based on the heat analysis of the heat node structure from a 1D biological tissue model. The Matlab software implementation was composed of two stages: tissue temperature profile calculation and optimization computation. To obtain the tissue temperature profile, the beam heat was varied from 45C to 75C (seven different levels of heat from the same source), while the second beam was allowed to move between the first beam and the tumor to locations at distances of 1 to 9mm (nine positions). The obtained tissue temperature profiles were subsequently analyzed to achieve the optimal time, beam position, and beam heat of the treatment. As a result of the optimization, the best position for the second beam was determined to be 5mm from the center of the tumor. Further, all tumor cells were observed to have died, whereas all normal tissues were safe. The optimal time, beam position, and beam heat of the treatment were finally collected to create and fit a mathematical function for further hyperthermia treatment.