Monte Carlo simulation for improving spectral photoacoustic imaging-based oxygen saturation estimation of human placental tissue

2020 ◽  
Author(s):  
Kristie Huda ◽  
Carolyn L. Bayer
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Oxygen Saturation ◽  
Photoacoustic Imaging ◽  
Placental Tissue ◽  
Human Placental Tissue

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.

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

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.

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.

Determination of Stoichiometry of GaAs Component in (Gaas)Ge Epitaxially Grown Thin Films by Electron Microprobe X-Ray Analysis

1990 ◽  
Vol 48 (2) ◽  
pp. 264-265
Author(s):  
D. R. Liu ◽  
S. S. Shinozaki ◽  
R. J. Baird
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Compound Semiconductors ◽  
Energy Dispersive Analysis ◽  
X Ray ◽  
Metastable Alloys ◽  
Lower Voltage

The epitaxially grown (GaAs)Ge thin film has been arousing much interest because it is one of metastable alloys of III-V compound semiconductors with germanium and a possible candidate in optoelectronic applications. It is important to be able to accurately determine the composition of the film, particularly whether or not the GaAs component is in stoichiometry, but x-ray energy dispersive analysis (EDS) cannot meet this need. The thickness of the film is usually about 0.5-1.5 μm. If Kα peaks are used for quantification, the accelerating voltage must be more than 10 kV in order for these peaks to be excited. Under this voltage, the generation depth of x-ray photons approaches 1 μm, as evidenced by a Monte Carlo simulation and actual x-ray intensity measurement as discussed below. If a lower voltage is used to reduce the generation depth, their L peaks have to be used. But these L peaks actually are merged as one big hump simply because the atomic numbers of these three elements are relatively small and close together, and the EDS energy resolution is limited.

Sign in / Sign up

Export Citation Format

Share Document