scholarly journals Jones-matrix imaging of biological tissues with quadruple-channel optical coherence tomography

2002 ◽  
Vol 7 (3) ◽  
pp. 350 ◽  
Author(s):  
Shuliang Jiao ◽  
Lihong V. Wang
Keyword(s):  
Optical Coherence Tomography ◽  
Biological Tissues ◽  
Jones Matrix ◽  
Optical Coherence

Birefringence and vascular imaging of in vivo human skin by Jones-matrix optical coherence tomography

2017 ◽  
Author(s):  
En Li ◽  
Shuichi Makita ◽  
Young-Joo Hong ◽  
Deepa Kasaragod ◽  
Yoshiaki Yasuno
Keyword(s):  
Optical Coherence Tomography ◽  
Human Skin ◽  
Vascular Imaging ◽  
Jones Matrix ◽  
Optical Coherence

scholarly journals Generalized Jones matrix optical coherence tomography: performance and local birefringence imaging

2010 ◽  
Vol 18 (2) ◽  
pp. 854 ◽  
Author(s):  
Shuichi Makita ◽  
Masahiro Yamanari ◽  
Yoshiaki Yasuno
Keyword(s):  
Optical Coherence Tomography ◽  
Jones Matrix ◽  
Optical Coherence

Polarization contrast imaging of biological tissues by polarization-sensitive Fourier-domain optical coherence tomography

2006 ◽  
Vol 45 (6) ◽  
pp. 1142 ◽  
Author(s):  
Shuichi Makita ◽  
Yoshiaki Yasuno ◽  
Takashi Endo ◽  
Masahide Itoh ◽  
Toyohiko Yatagai
Keyword(s):  
Optical Coherence Tomography ◽  
Biological Tissues ◽  
Fourier Domain ◽  
Optical Coherence ◽  
Contrast Imaging ◽  
Polarization Contrast

scholarly journals Parallel detection of Jones-matrix elements in polarization-sensitive optical coherence tomography

2019 ◽  
Vol 10 (5) ◽  
pp. 2318 ◽  
Author(s):  
Masahiro Yamanari ◽  
Sato Uematsu ◽  
Kenji Ishihara ◽  
Yasushi Ikuno
Keyword(s):  
Optical Coherence Tomography ◽  
Jones Matrix ◽  
Optical Coherence ◽  
Matrix Elements ◽  
Parallel Detection

Differentiation between normal and tumor mammary glands with depth-resolved attenuation coefficient from optical coherence tomography

2021 ◽  
Author(s):  
Marino de Jesus Maciel ◽  
Hugo M Pereira ◽  
Sara Pimenta ◽  
Alice Miranda ◽  
Eduardo Jorge Nunes-Pereira ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Attenuation Coefficient ◽  
Light Attenuation ◽  
Biological Tissues ◽  
Mammary Glands ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Subjective Analysis ◽  
Coefficient Estimation ◽  
Cross Sectional Imaging

Abstract Optical coherence tomography (OCT) is a well-established imaging technology for high-resolution, cross-sectional imaging of biological tissues. Imaging processing and light attenuation coefficient estimation allows to further improve the OCT diagnostic capability. In this paper we use a commercial OCT system, Telesto II-1325LR from Thorlabs, and demonstrate its ability to differentiate normal and tumor mammary mouse glands with the OCT attenuation coefficient. Using several OCT images of normal and tumor mammary mouse glands (n=26), a statistical analysis was performed. The attenuation coefficient was calculated in depth, considering a slope of 0.5 mm. The normal glands present a median attenuation coefficient of 0.403 mm-1, comparatively to 0.561 mm-1 obtained for tumor mammary glands. This translates in an attenuation coefficient approximately 39 % higher for tumor mammary glands when compared to normal mammary glands. The OCT attenuation coefficient estimation eliminates the subjective analysis provided by direct visualization of the OCT images.

scholarly journals The Use of Optical Coherence Tomography in Dental Diagnostics: A State-of-the-Art Review

2017 ◽  
Vol 2017 ◽  
pp. 1-31 ◽  
Author(s):  
Monika Machoy ◽  
Julia Seeliger ◽  
Liliana Szyszka-Sommerfeld ◽  
Robert Koprowski ◽  
Tomasz Gedrange ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Time Delay ◽  
Internal Structure ◽  
State Of The Art ◽  
Biological Tissues ◽  
Tomographic Imaging ◽  
Optical Coherence ◽  
X Rays ◽  
Analytical Technology

Optical coherence tomography provides sections of tissues in a noncontact and noninvasive manner. The device measures the time delay and intensity of the light scattered or reflected from biological tissues, which results in tomographic imaging of their internal structure. This is achieved by scanning tissues at a resolution ranging from 1 to 15 μm. OCT enables real-time in situ imaging of tissues without the need for biopsy, histological procedures, or the use of X-rays, so it can be used in many fields of medicine. Its properties are not only particularly used in ophthalmology, in the diagnosis of all layers of the retina, but also increasingly in cardiology, gastroenterology, pulmonology, oncology, and dermatology. The basic properties of OCT, that is, noninvasiveness and low wattage of the used light, have also been appreciated in analytical technology by conservators, who use it to identify the quality and age of paintings, ceramics, or glass. Recently, the OCT technique of visualization is being tested in different fields of dentistry, which is depicted in the article.

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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