Quantifying differences in cardiac tissue structure related to patient characteristics using an optical coherence tomography cardiac tissue atlas

2020 ◽  
Author(s):  
Theresa H. Lye ◽  
Darnel Theagene ◽  
Charles C. Marboe ◽  
Christine P. Hendon
Keyword(s):  
Optical Coherence Tomography ◽  
Cardiac Tissue ◽  
Patient Characteristics ◽  
Tissue Structure ◽  
Optical Coherence

Imaging of hard- and soft-tissue structure in the oral cavity by optical coherence tomography

1998 ◽  
Vol 37 (16) ◽  
pp. 3582 ◽  
Author(s):  
Bill W. Colston ◽  
Matthew J. Everett ◽  
Luiz B. Da Silva ◽  
Linda L. Otis ◽  
Pieter Stroeve ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Soft Tissue ◽  
Oral Cavity ◽  
Tissue Structure ◽  
Optical Coherence ◽  
Soft Tissue Structure

scholarly journals Systematic Optimization for Optical Coherence Tomographic Imaging

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Po-Hsiung Chen ◽  
Chia-Wei Sun
Keyword(s):  
Optical Coherence Tomography ◽  
Tomographic Imaging ◽  
Tissue Structure ◽  
Optical Coherence ◽  
Post Processing ◽  
Ultrahigh Resolution ◽  
System Calibration ◽  
Tomography Imaging ◽  
Systematic Optimization ◽  
Optical Coherence Tomography Imaging

AbstractOptical coherence tomography is a powerful tool that can effectively provide detail information of biological tissue structure. The axis resolution of optical coherence tomography has achieved sub-micrometer and we are interested in its ultrahigh resolution that can be practically utilized for clinical application. In this article, the basic system calibration is discussed; we systematically demonstrated the detail process in optimization of optical coherence tomography for accurately acquiring data. The systematic optimization for optical coherence tomography imaging is discussed here including system calibration and image post-processing.

scholarly journals Optical coherence tomography angiography findings in cystoid macular degeneration associated with central serous chorioretinopathy

2019 ◽  
Vol 103 (11) ◽  
pp. 1615-1618 ◽  
Author(s):  
Niroj Kumar Sahoo ◽  
Sai Bhakti Mishra ◽  
Claudio Iovino ◽  
Sumit Randhir Singh ◽  
Marion R Munk ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Degeneration ◽  
Central Serous Chorioretinopathy ◽  
Optical Coherence Tomography Angiography ◽  
Subretinal Fluid ◽  
Patient Characteristics ◽  
Optical Coherence ◽  
Significant Difference ◽  
The Difference ◽  
Neurosensory Retinal Detachment

AimTo describe the optical coherence tomography (OCT) characteristics and to identify and analyse the incidence of choroidal neovascular (CNV) network seen on optical coherence tomography angiography (OCTA) in eyes with cystoid macular degeneration (CMD) associated with central serous chorioretinopathy (CSCR).MethodsThis was a retrospective, observational study of 29 eyes of 25 patients who were previously diagnosed as CSCR with CMD. Baseline patient characteristics, best-corrected visual acuity (BCVA), evidence of CNV network and its pattern on OCTA, distribution of CMD changes and OCT parameters, such as height of the neurosensory retinal detachment (NSD), presence of double layer sign, central macular thickness, were analysed. The eyes were classified into two groups depending on the presence or absence of CNV network on OCTA. BCVA, OCT parameters and CMD distribution were compared in the two groups at baseline using independent t-test.ResultA total of 13 (44.8 %) eyes had a CNV network, while only 9 out of the 13 eyes had pattern-I CNV. Among the eyes with CNV network (13 eyes), mean height of NSD was of 65.2±22.7 µ, whereas, among the eyes without CNV (16 eyes), it was 134.6±77.4 µ. The difference was statistically significant (p=0.013). There was no statistically significant difference between eye having a CNV and eyes without CNV in terms of other parameters.ConclusionA CNV network is seen in a large subset of patients with CMD in CSCR. A shallower subretinal fluid may point towards the presence of an underlying CNV network.

scholarly journals The Application of Optical Coherence Tomography to Image Subsurface Tissue Structure of Antarctic Krill Euphausia superba

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e110367 ◽  
Author(s):  
Nicola Bellini ◽  
Martin J. Cox ◽  
Danielle J. Harper ◽  
Sebastian R. Stott ◽  
Praveen C. Ashok ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Antarctic Krill ◽  
Euphausia Superba ◽  
Tissue Structure ◽  
Optical Coherence ◽  
Antarctic Krill Euphausia Superba

scholarly journals Multimodal Optical Coherence Tomography in Visualization of Brain Tissue Structure at Glioblastoma (Experimental Study)

2016 ◽  
Vol 8 (1) ◽  
pp. 73-81 ◽  
Author(s):  
К.S. Yashin ◽  
M.M. Karabut ◽  
V.V. Fedoseeva ◽  
A.S. Khalansky ◽  
L.A. Matveev ◽  
...  
Keyword(s):  
Experimental Study ◽  
Optical Coherence Tomography ◽  
Brain Tissue ◽  
Tissue Structure ◽  
Optical Coherence

A review of optical coherence tomography in breast cancer

2014 ◽  
Vol 3 (3) ◽  
Author(s):  
Loretta Scolaro ◽  
Robert A. McLaughlin ◽  
Brendan F. Kennedy ◽  
Christobel M. Saunders ◽  
David D. Sampson
Keyword(s):  
Breast Cancer ◽  
Optical Coherence Tomography ◽  
Medical Imaging ◽  
Imaging Modality ◽  
Three Dimensional ◽  
Tissue Structure ◽  
Optical Coherence ◽  
Micro Scale ◽  
Bulk Tissue

AbstractOptical coherence tomography (OCT) is a medical imaging modality that opens up new opportunities for imaging in breast cancer. It provides two- and three-dimensional micro-scale images of tissue structure from bulk tissue,

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