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Simulation of low-level laser light propagation through the skin on the human back using the Monte Carlo method

6 pagesPublished: July 19, 2023

Abstract

Nowadays, lung diseases are increasing due to many different reasons, usually concerning pleural effusion syndrome. Low-level laser therapy has made significant progress in the biomedical field regarding diagnostic and therapeutic capabilities. For applying low-level laser in treatment, it is necessary to understand the absorption, propagation, and positive effects of the laser on each biological tissue and optimize the identification of biological stimuli in tissues. Therefore, many researchers have used the Monte Carlo method to simulate the propagation of low-level lasers through multiple layers of tissue. This paper uses the Monte Carlo method to simulate the propagation of low- level laser light at wavelengths (633 nm, 780 nm, 850 nm, 940 nm) from the human back skin surface through the skin tissues to the lung. As a result, each treatment's appropriate wavelengths, dose, and energy can be selected.

Keyphrases: dose, human back skin, low-level laser therapy, Monte Carlo, pleural effusion syndrome

In: Trung Nghia Tran, Quoc Khai Le, Tich Thien Truong, Thanh Nha Nguyen and Hoang Nhut Huynh (editors). Proceedings of International Symposium on Applied Science 2022, vol 5, pages 120--125

Links:
BibTeX entry
@inproceedings{ISAS2022:Simulation_of_low_level_laser,
  author    = {Thi Tien Pham and Anh Tu Tran and Trung Nghia Tran},
  title     = {Simulation of low-level laser light propagation through the skin on the human back using the Monte Carlo method},
  booktitle = {Proceedings of International Symposium on Applied Science 2022},
  editor    = {Trung Nghia Tran and Quoc Khai Le and Tich Thien Truong and Thanh Nha Nguyen and Hoang Nhut Huynh},
  series    = {EPiC Series in Engineering},
  volume    = {5},
  pages     = {120--125},
  year      = {2023},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/hxlF},
  doi       = {10.29007/hv18}}
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