scholarly journals Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications

2018 ◽  
Vol 4 (1) ◽  
pp. 275-278 ◽  
Author(s):  
Bert. H. Herrmann ◽  
Christoph Hornberger
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Oxygen Saturation ◽  
Hyperspectral Imaging ◽  
Blood Volume ◽  
Volume Fraction ◽  
Depth Resolution ◽  
Surrounding Tissue ◽  
Detector Geometry ◽  
Deep Layers

Abstract In Hyperspectral imaging (HSI) applications in medicine a uniform illumination is used and the illuminated surface is recorded with a camera with spectral resolution. Unlike in tissue reflectance spectroscopy with fixed light source - detector distances, in HSI the contribution of the influence of different tissue layers to the absorption signal is poorly understood. In this work a Monte-Carlo simulation is implemented which simulates the specific HSI illumination and detector geometry. A four-layer tissue model with variable blood volume fraction and oxygen saturation is used. With 5 % blood volume fraction and 75 % oxygen saturation, SaO2, of surrounding tissue, saturation changes in 1 mm and 2 mm deep layers lead to a change in remission of up to 3 % and up to 1 % respectively. Changes in deeper layers are hardly detectable. Further simulations will be focused on different tissue models as the depth resolution is expected to vary with tissue parameters like blood volume fraction.

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.

scholarly journals Crossed source–detector geometry for a novel spray diagnostic: Monte Carlo simulation and analytical results

2005 ◽  
Vol 44 (13) ◽  
pp. 2519 ◽  
Author(s):  
Edouard Berrocal ◽  
Dmitry Y. Churmakov ◽  
Vadim P. Romanov ◽  
Mark C. Jermy ◽  
Igor V. Meglinski
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Analytical Results ◽  
Detector Geometry

Assessment of Blood Oxygen Saturation by Visible Optical Coherence Tomography Based on Fast Monte Carlo Simulation

2020 ◽  
Vol 3 (4) ◽  
pp. 03-07
Author(s):  
Mingxin Liu ◽  
Fangjian Xing ◽  
Chenliang Chang ◽  
Jonghwan Lee ◽  
Caojin Yuan ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Oxygen Saturation ◽  
Optical Coherence ◽  
Blood Oxygen ◽  
Blood Oxygen Saturation

Monte Carlo Simulation of Particle-Cracking Damage Evolution in Metal Matrix Composites

2005 ◽  
Vol 127 (3) ◽  
pp. 318-324 ◽  
Author(s):  
H. T. Liu ◽  
L. Z. Sun ◽  
H. C. Wu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Damage Evolution ◽  
Volume Fraction ◽  
Damage Model ◽  
Local Stress ◽  
Matrix Composites ◽  
Particle Cracking

In the modeling of microstructural damage mechanisms of composites, damage evolution plays an important role and has significant effects on the overall nonlinear behavior of composites. In this study, a microstructural Monte Carlo simulation method is proposed to predict the volume fraction evolution of damaged particles due to particle-cracking for metal matrix composites with randomly distributed spheroidal particles. The performance function is constructed using a stress-based damage criterion. A micromechanics-based elastoplastic and damage model is applied to compute the local stress field and to estimate the overall nonlinear response of the composites with particle-cracking damage mechanism. The factors that affect the damage evolution are investigated and the effects of particle shape and damage strength on damage evolution are discussed in detail. Simulation results are compared with experiments and good agreement is obtained.

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