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Volume 25 - ICOP & ICPET 2019
ICOP & ICPET _ INPC _ ICOFS 2019, 25 - ICOP & ICPET 2019: 937-940 |
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Rahmatpour A, Ansari M A. Modeling of Photoacoustic Method for Detection of Melanoma Cancer by Monte Carlo Method. ICOP & ICPET _ INPC _ ICOFS 2019; 25 :937-940
URL: http://opsi.ir/article-1-1817-en.html
URL: http://opsi.ir/article-1-1817-en.html
1- The faculty of Laser and Plasma Research Institute, Shahid Beheshti University, Tehran.
Abstract: (1467 Views)
Melanoma is a skin cancer that is prevalent in tropical countries such as Iran. An invasive sampling method is used to diagnose the disease. During the sampling process and afterwards the patient suffers from pain and causes the beauty of the skin to disappear. To do this, using non-invasive methods is important. In recent years, photoacoustic, non-invasive and non-ionizing methods have been used in dermatological diseases. For this reason, in this paper, we study the production of photocoacoustic pulse from a malignant mucus within the flat skin phantom. For this purpose, the Monte Carlo algorithm is used to model the absorption of laser light (532 nm) in the skin, and then the acoustic wave equation derived from absorbing laser light is simulated using the Green's function of solving and pressure on the skin. The results show that the photoacoustic method is capable of detecting the thickness and depth of the mole.
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