Imaging of the interaction of low frequency electric fields with biological tissues by optical coherence tomography

2014 ◽  
Author(s):  
Adrian F. Peña ◽  
Jack Devine ◽  
Alexander Doronin ◽  
Igor Meglinski
2013 ◽  
Vol 38 (14) ◽  
pp. 2629 ◽  
Author(s):  
Adrian F. Peña ◽  
Jack Devine ◽  
Alexander Doronin ◽  
Igor Meglinski

2021 ◽  
Author(s):  
Valentin Demidov

This thesis reports on developing a novel approach to imaging the electro-kinetic response of biological tissues with optical coherence tomography (OCT). The changes of backscattered OCT signal from tissues were investigated with a low frequency AC electric field being applied to the tissues. Advanced processing algorithms were developed to analyze the amplitude and phase changes of OCT signal. Two-dimensional electrically induced optical changes (EIOC) amplitude and phase images related to the electro-kinetic response of soft tissues were obtained with depth resolution and compared with structural OCT images. The procedure for removing the background noise from EIOC images was introduced.


2021 ◽  
Author(s):  
Valentin Demidov

This thesis reports on developing a novel approach to imaging the electro-kinetic response of biological tissues with optical coherence tomography (OCT). The changes of backscattered OCT signal from tissues were investigated with a low frequency AC electric field being applied to the tissues. Advanced processing algorithms were developed to analyze the amplitude and phase changes of OCT signal. Two-dimensional electrically induced optical changes (EIOC) amplitude and phase images related to the electro-kinetic response of soft tissues were obtained with depth resolution and compared with structural OCT images. The procedure for removing the background noise from EIOC images was introduced.


2014 ◽  
Vol 3 (4) ◽  
Author(s):  
Valentin Demidov ◽  
Vladislav Toronov ◽  
Yuan Xu ◽  
Barry Vuong ◽  
Carry Sun ◽  
...  

AbstractIn this study, the electro-kinetic phenomena (EKP) induced in biological tissue by external electric field, while not directly visible in optical coherence tomography (OCT) images, were detected by analyzing their textural speckle features. During application of a low-frequency electric field to the tissue, speckle patterns changed their brightness and shape depending on the local tissue EKP. Since intensities of OCT image speckle patterns were analyzed and discussed in our previous publications, this work is mainly focused on OCT signal phase analysis. The algorithm for extracting local spatial phase variations from unwrapped phases is introduced. The detection of electrically induced optical changes manifest in OCT phase images shows promise for monitoring the fixed charge density changes within tissues through their electro-kinetic responses. This approach may help in the identification and characterization of morphology and function of healthy and pathologic tissues.


2006 ◽  
Vol 45 (6) ◽  
pp. 1142 ◽  
Author(s):  
Shuichi Makita ◽  
Yoshiaki Yasuno ◽  
Takashi Endo ◽  
Masahide Itoh ◽  
Toyohiko Yatagai

Author(s):  
Marino de Jesus Maciel ◽  
Hugo M Pereira ◽  
Sara Pimenta ◽  
Alice Miranda ◽  
Eduardo Jorge Nunes-Pereira ◽  
...  

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.


2017 ◽  
Vol 2017 ◽  
pp. 1-31 ◽  
Author(s):  
Monika Machoy ◽  
Julia Seeliger ◽  
Liliana Szyszka-Sommerfeld ◽  
Robert Koprowski ◽  
Tomasz Gedrange ◽  
...  

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.


2019 ◽  
Vol 9 (19) ◽  
pp. 4008
Author(s):  
Luying Yi ◽  
Liqun Sun ◽  
Mingli Zou ◽  
Bo Hou

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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