Next Article in Journal
Microstructural Investigation of Heat-Treated Ultra-High Performance Concrete for Optimum Production
Next Article in Special Issue
Laser Powder Cladding of Ti-6Al-4V α/β Alloy
Previous Article in Journal
Giant Strain and Induced Ferroelectricity in Amorphous BaTiO3 Films under Poling
Previous Article in Special Issue
Estimation of Articular Cartilage Surface Roughness Using Gray-Level Co-Occurrence Matrix of Laser Speckle Image
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessFeature PaperArticle
Materials 2017, 10(9), 1104; doi:10.3390/ma10091104

A Method for Medical Diagnosis Based on Optical Fluence Rate Distribution at Tissue Surface

1
Department of Engineering Applications of Laser, National Institute of Laser Enhanced Sciences (NILES), Cairo University, Giza Governorate 12613, Egypt
2
Department of Biomedical Engineering, Faculty of Engineering, Helwan University, Cairo Governorate 11795, Egypt
3
Department of Basic Sciences, Faculty of Engineering, Benha University, Qalubiya Governorate 13511, Egypt
4
Department of Biomedical Engineering, Faculty of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 26 July 2017 / Revised: 10 September 2017 / Accepted: 17 September 2017 / Published: 20 September 2017
(This article belongs to the Special Issue Laser in Nanotechnology and Biomedical Applications)
View Full-Text   |   Download PDF [4269 KB, uploaded 20 September 2017]   |  

Abstract

Optical differentiation is a promising tool in biomedical diagnosis mainly because of its safety. The optical parameters’ values of biological tissues differ according to the histopathology of the tissue and hence could be used for differentiation. The optical fluence rate distribution on tissue boundaries depends on the optical parameters. So, providing image displays of such distributions can provide a visual means of biomedical diagnosis. In this work, an experimental setup was implemented to measure the spatially-resolved steady state diffuse reflectance and transmittance of native and coagulated chicken liver and native and boiled breast chicken skin at 635 and 808 nm wavelengths laser irradiation. With the measured values, the optical parameters of the samples were calculated in vitro using a combination of modified Kubelka-Munk model and Bouguer-Beer-Lambert law. The estimated optical parameters values were substituted in the diffusion equation to simulate the fluence rate at the tissue surface using the finite element method. Results were verified with Monte-Carlo simulation. The results obtained showed that the diffuse reflectance curves and fluence rate distribution images can provide discrimination tools between different tissue types and hence can be used for biomedical diagnosis. View Full-Text
Keywords: optical fluence rate; tissue optical parameters; Kubelika-Munk model; diffuse reflection; finite element method; diffusion equation optical fluence rate; tissue optical parameters; Kubelika-Munk model; diffuse reflection; finite element method; diffusion equation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hamdy, O.; El-Azab, J.; Al-Saeed, T.A.; Hassan, M.F.; Solouma, N.H. A Method for Medical Diagnosis Based on Optical Fluence Rate Distribution at Tissue Surface. Materials 2017, 10, 1104.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Materials EISSN 1996-1944 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top