Artificial neural networks based estimation of optical parameters by diffuse reflectance imaging under in vitro conditions
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
World Scientific Publ Co Pte Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Optical parameters (properties) of tissue-mimicking phantoms are determined through nonin-vasive optical imaging. Objective of this study is to decompose obtained diffuse reflectance into these optical properties such as absorption and scattering coefficients. To do so, transmission spectroscopy is firstly used to measure the coefficients via an experimental setup. Next, the optical properties of each characterized phantom are input for Monte Carlo (MC) simulations to get diffuse reflectance. Also, a surface image for each single phantom with its known optical properties is obliquely captured due to reflectance-based geometrical setup using CMOS camera that is positioned at 5 degrees angle to the phantoms. For the illumination of light, a laser light source at 633 nm wavelength is preferred, because optical properties of different components in a biological tissue on that wavelength are nonoverlapped. During in vitro measurements, we prepared 30 different mixture samples adding clinoleic intravenous lipid emulsion (CILE) and evans blue (EB) dye into a distilled water. Finally, all obtained diffuse reflectance values are used to estimate the optical coeffcients by artificial neural networks (ANNs) in inverse modeling. For a biological tissue it is found that the simulated and measured values in our results are in good agreement.
Açıklama
Anahtar Kelimeler
Optical properties, diffuse reflectance, spectroscopy, Monte Carlo simulation, artificial neural networks
Kaynak
Journal of Innovative Optical Health Sciences
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
10
Sayı
1
