Simulation of light propagation through multi-layer tissue with a tilted boundary using a radial-beam light-emitting diode for liposuction

Sangha Song, Inko Elgezua, Yo Kobayashi, Masakatsu G. Fujie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Skin surface irregularity is the most common problem resulting from liposuction. It is caused by partially tilted internal boundaries between the fat and muscle layers after inappropriate liposuction. From the point of view of biomedical engineering, it is meaningful to simulate the light propagation according to the slope angle of the boundary with a specific light source. Therefore, in this paper, we suggest a method with which to simulate light propagation according to the angle of the boundary, based on Monte Carlo simulation commonly used for light propagation simulation in tissue, using a radial-beam light-emitting diode (LED). We first consider three characteristics of the radial-beam LED in tissue and perform selective transformations for the effects of the slope angle of the boundary in multiple layers. An experiment is then carried out to verify the effectiveness of the simulation we proposed. The coefficient of correlation between the simulation and experimental results is found to be 0.9605. From our results, we conclude that our simulation method is valid for light propagation through a tilted multi-layer tissue using a radial-beam LED.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
Pages294-299
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju
Duration: 2013 Oct 202013 Oct 23

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
CityGwangju
Period13/10/2013/10/23

Keywords

  • Light propagation
  • Liposuction
  • Monte Carlo simulation
  • Skin surface irregularity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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