Monte Carlo simulation of non-invasive glucose measurement based on FMCW LIDAR

2010 ◽  
Author(s):  
Bing Xiong ◽  
Wenxiong Wei ◽  
Nan Liu ◽  
Jian-Jun He
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Glucose Measurement ◽  
Non Invasive

scholarly journals Simulation of Photon Propagation in Tissue Using Matlab

2013 ◽  
Vol 21 (Special-Issue) ◽  
pp. 31-36b ◽  
Author(s):  
Dominika Jurovata ◽  
Julia Kurnatova ◽  
Sebastian Ley ◽  
Daniel Laqua ◽  
Pavel Vazan ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Oxygen Saturation ◽  
Pulse Oximetry ◽  
Fetal Tissue ◽  
Light Transport ◽  
Photon Propagation ◽  
Non Invasive ◽  
Radiation Distribution ◽  
Propagation Rules

Abstract This paper deals with the light transport, photon trajectory and its radiation in tissue. A model based on Monte Carlo simulation has been implemented in Matlab to get inside into photon interaction with tissue. The project is aimed to non-invasive pulse oximetry measurement of fetal oxygen saturation in the maternal abdomen. One of the fundamental challenges is to ensure a sufficient penetration depth which covers maternal and fetal tissue. This contribution investigates the photon trajectories and analyse the number of photons which stayed in tissue and their radiation distribution. The principle and photon propagation rules, needed for simulation, are presented in this article. Finally the results are compared with literature.

EFFICIENT FITTING RANGE FOR GLUCOSE MEASUREMENT WITH OPTICAL COHERENCE TOMOGRAPHY

2009 ◽  
Vol 02 (01) ◽  
pp. 107-115
Author(s):  
SHU FENG ◽  
KEHONG YUAN ◽  
DATIAN YE
Keyword(s):  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Biological Tissues ◽  
Scattering Coefficient ◽  
Glucose Measurement ◽  
Optical Coherence ◽  
Non Invasive ◽  
Tissue Simulating Phantoms

Studies of non-invasive glucose measurement with optical coherence tomography (OCT) in tissue-simulating phantoms and biological tissues show that glucose has an effect on the OCT signal slope. Choosing an efficient fitting range to calculate the OCT signal slope is important because it helps to improve the precision of glucose measurement. In this paper, we study the problem in two ways: (1) scattering-induced change of OCT signal slope versus depth in intralipid suspensions with different concentrations based on Monte Carlo (MC) simulations and experiments and (2) efficient fitting range for glucose measurement in 3% and 10% intralipid. The results show that the OCT signal slope expresses a contrary change with scattering coefficient below a certain depth in high intralipid concentrations, so that there is an effective fitting depth. With an efficient fitting range from 100 μm to the effective fitting depth, the precision of glucose measurement can be 4.4 mM for 10% intralipid and 2.2 mM for 3% intralipid.

scholarly journals Optimal focus evaluated using Monte Carlo simulation in non-invasive neuroimaging in the second near-infrared window

MethodsX ◽  
2019 ◽  
Vol 6 ◽  
pp. 2367-2373 ◽  
Author(s):  
Tatsuto Iida ◽  
Hiro Yamato ◽  
Takashi Jin ◽  
Yasutomo Nomura
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Near Infrared ◽  
Non Invasive ◽  
Infrared Window

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

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