scholarly journals Study of photon migration with various source-detector separations in near-infrared spectroscopic brain imaging based on three-dimensional Monte Carlo modeling

2005 ◽  
Vol 13 (21) ◽  
pp. 8339 ◽  
Author(s):  
Cheng-Kuang Lee ◽  
Chia-Wei Sun ◽  
Po-Lei Lee ◽  
Hsiang-Chieh Lee ◽  
C. C. Yang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Brain Imaging ◽  
Near Infrared ◽  
Three Dimensional ◽  
Photon Migration ◽  
Monte Carlo Modeling ◽  
Infrared Spectroscopic

Study on dynamics of photon migration in human breast based on three-dimensional Monte Carlo modeling

2010 ◽  
Author(s):  
Ching-Cheng Chuang ◽  
Chung-Ming Chen ◽  
Chia-Yen Lee ◽  
Jui-che Tsai ◽  
Chih-Wei Lu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Three Dimensional ◽  
Photon Migration ◽  
Human Breast ◽  
Monte Carlo Modeling

MCVM: MONTE CARLO MODELING OF PHOTON MIGRATION IN VOXELIZED MEDIA

2010 ◽  
Vol 03 (02) ◽  
pp. 91-102 ◽  
Author(s):  
TING LI ◽  
HUI GONG ◽  
QINGMING LUO
Keyword(s):  
Monte Carlo ◽  
Refractive Index ◽  
High Precision ◽  
Heterogeneous Media ◽  
Homogeneous Medium ◽  
Software Tool ◽  
Light Transport ◽  
Photon Migration ◽  
Monte Carlo Code ◽  
Monte Carlo Modeling

The Monte Carlo code MCML (Monte Carlo modeling of light transport in multi-layered tissue) has been the gold standard for simulations of light transport in multi-layer tissue, but it is ineffective in the presence of three-dimensional (3D) heterogeneity. New techniques have been attempted to resolve this problem, such as MCLS, which is derived from MCML, and tMCimg, which draws upon image datasets. Nevertheless, these approaches are insufficient because of their low precision or simplistic modeling. We report on the development of a novel model for photon migration in voxelized media (MCVM) with 3D heterogeneity. Voxel crossing detection and refractive-index-unmatched boundaries were considered to improve the precision and eliminate dependence on refractive-index-matched tissue. Using a semi-infinite homogeneous medium, steady-state and time-resolved simulations of MCVM agreed well with MCML, with high precision (~100%) for the total diffuse reflectance and total fractional absorption compared to those of tMCimg (< 70%). Based on a refractive-index-matched heterogeneous skin model, the results of MCVM were found to coincide with those of MCLS. Finally, MCVM was applied to a two-layered sphere with multi-inclusions, which is an example of a 3D heterogeneous media with refractive-index-unmatched boundaries. MCVM provided a reliable model for simulation of photon migration in voxelized 3D heterogeneous media, and it was developed to be a flexible and simple software tool that delivers high-precision results.

Research on the Near-Infrared (NIR) Photon Migration in the Knee

2013 ◽  
Vol 760-762 ◽  
pp. 388-391
Author(s):  
Yan Ping Chen ◽  
Xiong Ma ◽  
Chun Bin Li ◽  
Song Qing Chen
Keyword(s):  
Monte Carlo ◽  
Muscle Tissue ◽  
Layered Structure ◽  
Near Infrared ◽  
Propagation Model ◽  
Osteoarthritis Of The Knee ◽  
Photon Migration ◽  
Photon Propagation ◽  
Non Invasive ◽  
Distribution Rule

To study the phenomena of photon migration in the knee joint is very important in the field of non-invasive near-infrared optical early diagnosis of osteoarthritis of the knee (KOA). In this paper, a photon propagation model of the knee layered structure based on Monte Carlo method is proposed. The migration trace and distribution rule of the photons in knee layered structure are simulated by the Monte Carlo modeling. The proportion of photons which collide with bone tissue then migrate out of the muscle tissue and photons directly migrate out of muscle tissue is calculated and analyzed. The conclusion is that the MC method provided in this study is useful to analyze the photon migration in knee layered structure and to place the detector in a suitable position.

Near-infrared photon propagation in complex knee by Monte-Carlo modeling

2014 ◽  
Vol 12 (s2) ◽  
pp. S21701-321704 ◽  
Author(s):  
Yanping Chen Yanping Chen ◽  
Xiong Ma Xiong Ma ◽  
Xiaoling Wang Xiaoling Wang ◽  
Shaojie Wang Shaojie Wang
Keyword(s):  
Monte Carlo ◽  
Near Infrared ◽  
Monte Carlo Modeling ◽  
Photon Propagation ◽  
Infrared Photon

scholarly journals A Mesh-Based Monte Carlo Study for Investigating Structural and Functional Imaging of Brain Tissue Using Optical Coherence Tomography

2019 ◽  
Vol 9 (19) ◽  
pp. 4008
Author(s):  
Luying Yi ◽  
Liqun Sun ◽  
Mingli Zou ◽  
Bo Hou
Keyword(s):  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Brain Imaging ◽  
Brain Tissue ◽  
Three Dimensional ◽  
Hemoglobin Concentration ◽  
Monte Carlo Study ◽  
Biological Tissues ◽  
Optical Coherence ◽  
Quantitative Accuracy

Optical coherence tomography (OCT) can obtain high-resolution three-dimensional (3D) structural images of biological tissues, and spectroscopic OCT, which is one of the functional extensions of OCT, can also quantify chromophores of tissues. Due to its unique features, OCT has been increasingly used for brain imaging. To support the development of the simulation and analysis tools on which OCT-based brain imaging depends, a model of mesh-based Monte Carlo for OCT (MMC-OCT) is presented in this work to study OCT signals reflecting the structural and functional activities of brain tissue. In addition, an approach to improve the quantitative accuracy of chromophores in tissue is proposed and validated by MMC-OCT simulations. Specifically, the OCT-based brain structural imaging was first simulated to illustrate and validate the MMC-OCT strategy. We then focused on the influences of different wavelengths on the measurement of hemoglobin concentration C, oxygen saturation Y, and scattering coefficient S in brain tissue. Finally, it is proposed and verified here that the measurement accuracy of C, Y, and S can be improved by selecting appropriate wavelengths for calculation, which contributes to the experimental study of brain functional sensing.

Monte Carlo modeling of time-resolved near-infrared transillumination of human breast tissue

1994 ◽  
Author(s):  
Oliver Schuetz ◽  
Hans-Erich Reinfelder ◽  
Klaus W. Klingenbeck-Regn ◽  
Hartmut Bartelt
Keyword(s):  
Monte Carlo ◽  
Breast Tissue ◽  
Near Infrared ◽  
Human Breast ◽  
Human Breast Tissue ◽  
Monte Carlo Modeling ◽  
Time Resolved
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