scholarly journals Simulation of optical coherence tomography using Monte Carlo method

2007 ◽  
Vol 56 (7) ◽  
pp. 3861
Author(s):  
Jia Ya-Qing ◽  
Liang Yan-Mei ◽  
Zhu Xiao-Nong
Keyword(s):  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optical Coherence

Derivation of a Monte Carlo method for modeling heterodyne detection in optical coherence tomography systems

2002 ◽  
Vol 41 (31) ◽  
pp. 6676 ◽  
Author(s):  
Andreas Tycho ◽  
Thomas M. Jørgensen ◽  
Harold T. Yura ◽  
Peter E. Andersen
Keyword(s):  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Heterodyne Detection ◽  
Optical Coherence

Novel approach to modeling spectral-domain optical coherence tomography with Monte Carlo method

2014 ◽  
Author(s):  
Maciej Kraszewski ◽  
Michal Trojanowski ◽  
Marcin Strakowski ◽  
Jerzy Plucinski ◽  
Bogdan B. Kosmowski
Keyword(s):  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Spectral Domain ◽  
Optical Coherence ◽  
Novel Approach

Simulation of polarization-sensitive optical coherence tomography images by a Monte Carlo method

2008 ◽  
Vol 33 (14) ◽  
pp. 1581 ◽  
Author(s):  
Igor Meglinski ◽  
Mikhail Kirillin ◽  
Vladimir Kuzmin ◽  
Risto Myllylä
Keyword(s):  
Optical Coherence Tomography ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optical Coherence

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.

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