scholarly journals FOVEA: a new program to standardize the measurement of foveal pit morphology

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1785 ◽  
Author(s):  
Bret A. Moore ◽  
Innfarn Yoo ◽  
Luke P. Tyrrell ◽  
Bedrich Benes ◽  
Esteban Fernandez-Juricic
Keyword(s):  
Optical Coherence Tomography ◽  
Visual Perception ◽  
Cross Sections ◽  
Comparative Studies ◽  
Color Variation ◽  
Optical Coherence ◽  
Passerine Birds ◽  
Inner Retina ◽  
Retinal Tissue ◽  
Veterinary Pathology

The fovea is one of the most studied retinal specializations in vertebrates, which consists of an invagination of the retinal tissue with high packing of cone photoreceptors, leading to high visual resolution. Between species, foveae differ morphologically in the depth and width of the foveal pit and the steepness of the foveal walls, which could influence visual perception. However, there is no standardized methodology to measure the contour of the foveal pit across species. We present here FOVEA, a program for the quantification of foveal parameters (width, depth, slope of foveal pit) using images from histological cross-sections or optical coherence tomography (OCT). FOVEA is based on a new algorithm to detect the inner retina contour based on the color variation of the image. We evaluated FOVEA by comparing the fovea morphology of two Passerine birds based on histological cross-sections and its performance with data from previously published OCT images. FOVEA detected differences between species and its output was not significantly different from previous estimates using OCT software. FOVEA can be used for comparative studies to better understand the evolution of the fovea morphology in vertebrates as well as for diagnostic purposes in veterinary pathology. FOVEA is freely available for academic use and can be downloaded at:http://estebanfj.bio.purdue.edu/fovea.

Thickness mapping of the inner retina by spectral-domain optical coherence tomography in an N-methyl-d-aspartate-induced retinal damage model

2013 ◽  
Vol 113 ◽  
pp. 19-25 ◽  
Author(s):  
Yuta Ohno ◽  
Shuichi Makita ◽  
Masamitsu Shimazawa ◽  
Kazuhiro Tsuruma ◽  
Yoshiaki Yasuno ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Damage Model ◽  
Spectral Domain ◽  
Retinal Damage ◽  
Optical Coherence ◽  
Inner Retina

scholarly journals INTACT RETINAL TISSUE AND RETINAL PIGMENT EPITHELIUM IDENTIFIED WITHIN A COLOBOMA BY HIGH-SPEED, ULTRAHIGH-RESOLUTION OPTICAL COHERENCE TOMOGRAPHY

2011 ◽  
Vol 5 (1) ◽  
pp. 46-48 ◽  
Author(s):  
Christopher H Judson ◽  
Laurel N Vuong ◽  
Iwona Gorczynska ◽  
Vivek J Srinivasan ◽  
James G Fujimoto ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Retinal Pigment Epithelium ◽  
High Speed ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Optical Coherence ◽  
Ultrahigh Resolution ◽  
Retinal Tissue

scholarly journals The Detection of Internal Fingerprint Image Using Optical Coherence Tomography

2017 ◽  
Vol 22 (4) ◽  
pp. 59-72 ◽  
Author(s):  
Joanna Sekulska-Nalewajko ◽  
Jarosław Gocławski ◽  
Dominik Sankowski
Keyword(s):  
Optical Coherence Tomography ◽  
Cross Sections ◽  
High Intensity ◽  
Three Dimensional ◽  
Skin Surface ◽  
Image Space ◽  
Optical Coherence ◽  
Fingerprint Image ◽  
Volumetric Images

Abstract Recently, optical coherence tomography (OCT) has been tested as a contactless technique helpful for damaged or spoofed fingerprint recovery. Three dimensional OCT images cover the range from the skin surface to papillary region in upper dermis. The proposed method extracts from cross-sections of volumetric images (B-scans) high intensity ridges in both air-epidermis and dermis-epidermis interfaces. The extraction is based on the localisation of two OCT signal peaks corresponding to these edges. The borders are spline smoothed in two orthogonal planes of the image space. The result images are presented and compared with camera views.

‘En Face' Optical Coherence Tomography Scan Applications in the Inner Retina

2014 ◽  
pp. 101-109
Author(s):  
Bruno Lumbroso ◽  
Marco Rispoli ◽  
Jean Francois Le Rouic ◽  
Maria Cristina Savastano
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Inner Retina ◽  
En Face ◽  
Tomography Scan

Abstract 16128: Vascular Healing Response After Everolimus Eluting Stent Implantation in Patients With or Without Diabetes Mellitus -Evaluation With Optical Coherence Tomography

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Yutaka Goryo ◽  
Shiro Uemura ◽  
Yoko Dote ◽  
Yu Sugawara ◽  
Tomoya Ueda ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Optical Coherence Tomography ◽  
Cross Sections ◽  
Healing Process ◽  
Drug Eluting Stent ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Stent Restenosis ◽  
Neointimal Coverage ◽  
In Stent Restenosis

Introduction: Clinical introduction of percutaneous coronary intervention (PCI) with drug eluting stent has substantially decreased the rate of in-stent restenosis (ISR). However, it is reported that patients with diabetes mellitus (DM) still have higher incidence of restenosis and secondary cardiovascular events than patients without DM. Using intravascular optical coherence tomography (OCT), we evaluated the effect of DM on healing process of coronary artery after everolimus eluting stents (EES) implantation in the comparison with non-DM patients. Methods and Results: We studied 26 DM patients (65.1±11.9y/o) and 59 non-DM patients (68.1±9.4y/o) who received OCT-guided EES implantation. The second OCT examination was performed on 296±71.1 days after implantation (291±74.2days vs. 298±70.3days, p=0.51). OCT cross-sectional images of the second study were examined to determine the condition of neointimal coverage over every strut in 1mm interval (DM; 725 cross-sections and 5742 struts, non-DM; 1482 cross-sections and 12098 struts). In addition, neointimal thickness (NIT) over each strut measured and tissue characteristics were examined. One in-stent restenosis with clinical manifestation was observed in each group. Average NIT was significantly thicker in DM group than in non-DM group (107±99.2μm vs. 92±74.6μm, p<0.01). The incidence of malapposed struts without neointimal coverage were very low and similar in both groups (0.22±0.54 vs. 0.13±0.72%, p=0.43). The frequency of OCT-defined unstable neointimal characteristics was significantly higher rate in DM than non-DM group (14.5±18.9% vs. 6.67±14.5%, p=0.03). Conclusions: EES implanted in DM patients showed acceptable neointimal proliferation and uncovered stent struts similar to non-DM patients, suggesting the mid-term efficacy and safety of EES in DM patients. However, long-term follow-up should be necessary because of the high incidence of unstable neointimal characteristics which might be a substrate for the future development of neoatherosclerosis.

Intraluminal three-dimensional optical coherence tomography – a tool for imaging of the Eustachian tube?

2019 ◽  
Vol 133 (2) ◽  
pp. 87-94 ◽  
Author(s):  
R Schuon ◽  
B Mrevlje ◽  
B Vollmar ◽  
T Lenarz ◽  
G Paasche
Keyword(s):  
Optical Coherence Tomography ◽  
Eustachian Tube ◽  
Cross Sections ◽  
Ex Vivo ◽  
Three Dimensional ◽  
Diagnostic Value ◽  
Optical Coherence ◽  
Experimental Conditions ◽  
Non Invasive ◽  
Tube Dysfunction

AbstractObjectivesThe cause of Eustachian tube dysfunction often remains unclear. Therefore, this study aimed to examine the feasibility and possible diagnostic use of optical coherence tomography in the Eustachian tube ex vivo.MethodsTwo female blackface sheep cadaver heads were examined bilaterally. Three conditions of the Eustachian tube were investigated: closed (resting position), actively opened and stented. The findings were compared (and correlated) with segmented histological cross-sections.ResultsIntraluminal placement of the Eustachian tube with the optical coherence tomography catheter was performed without difficulty. Regarding the limited infiltration depth of optical coherence tomography, tissues can be differentiated. The localisation of the stent was accurate as was the lumen.ConclusionThe application of optical coherence tomography in the Eustachian tube under these experimental conditions is considered to be a feasible, rapid and non-invasive diagnostic method, with possible diagnostic value for determining the luminal shape and superficial lining tissue of the Eustachian tube.

107Diagnostic accuracy of optical coherence tomography for the identification of in-stent fibroatheroma following stent implantation: an ex-vivo histological validation study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Shibutani ◽  
K Fujii ◽  
R Kawakami ◽  
T Imanaka ◽  
K Kawai ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Cross Sections ◽  
Stent Implantation ◽  
Predictive Value ◽  
Signal Intensity ◽  
Necrotic Core ◽  
Optical Coherence ◽  
Low Intensity ◽  
Stent Strut ◽  
Histological Images

Abstract Background Previous histopathological studies have demonstrated that new atherosclerotic formation within the neointima, called neoatherosclerosis, is one of the most important mechanisms leading to both very late in-stent restenosis and stent thrombosis after stent implantation. Therefore, to distinguish lipid-containing atherosclerotic neointima from other tissues using intracoronary imaging modalities is clinically important to prevent late stent failures. Purpose This study evaluated the diagnostic performance of optical coherence tomography (OCT) for the detection of “in-stent fibroatheroma” following stent implantation by comparing cross-sections of the model with the corresponding histological images. Methods Fifty stented coronary arteries from the 31 autopsy hearts were imaged by OCT. Coronary arterial histopathological specimens, all of which included more than 30% of %neointimal hyperplasia, were compared with the corresponding OCT cross-sections. Histological in-stent fibroatheroma was defined as neointima containing large necrotic core and inflammatory cells. OCT-derived in-stent fibroatheroma comprised a low-intensity tissue containing a poorly delineated region with invisible stent strut behind low signal intensity. Results A total of 122 OCT cross-sections were compared with histological images. OCT examination revealed that 24 images (20%) contained low-intensity tissue inside the neointima. Of those, 5 images, in which stent strut behind low signal intensity was invisible, were diagnosed as OCT-derived in-stent fibroatheroma (4%) (Figure A). By histological analysis, only 4 images were classified as in-stent fibroatheroma (3%) (Figure B). With histology as the gold standard, the sensitivity, specificity, positive predictive value, negative predictive value, and overall diagnostic accuracy for OCT-derived in-stent fibroatheroma were 100%, 99%, 80%, 100%, and 99%, respectively. The only histological finding underlying the false-positive-diagnosis of OCT-derived in-stent fibroatheroma was foam cells accumulation without necrotic core on the neointimal surface (Figure C and D). Most tissue that showed low-intensity tissue with visible stent strut by OCT contained proteoglycan matrix and organized thrombus in the absence of an underlying necrotic core. Coregistration of OCT with histology Conclusion This study showed the potential capability of OCT based on the visualization of stent struts behind low-intensity regions for discriminating in-stent fibroatheroma from other neointimal tissues following stent implantation.

scholarly journals Automated Deep Learning-based Multi-class Fluid Segmentation in Swept-Source Optical Coherence Tomography Images

2020 ◽  
Author(s):  
Jonathan D. Oakley ◽  
Simrat K. Sodhi ◽  
Daniel B. Russakoff ◽  
Netan Choudhry
Keyword(s):  
Optical Coherence Tomography ◽  
Deep Learning ◽  
Spatial Information ◽  
Age Related Macular Degeneration ◽  
Optical Coherence ◽  
Swept Source ◽  
Retinal Tissue ◽  
Age Related ◽  
Additional Input ◽  
Roc Area

AbstractPurposeTo evaluate the performance of a deep learning-based, fully automated, multi-class, macular fluid segmentation algorithm relative to expert annotations in a heterogeneous population of confirmed wet age-related macular degeneration (wAMD) subjects.MethodsTwenty-two swept-source optical coherence tomography (SS-OCT) volumes of the macula from 22 from different individuals with wAMD were manually annotated by two expert graders. These results were compared using cross-validation (CV) to automated segmentations using a deep learning-based algorithm encoding spatial information about retinal tissue as an additional input to the network. The algorithm detects and delineates fluid regions in the OCT data, differentiating between intra- and sub-retinal fluid (IRF, SRF), as well as fluid resulting from in serous pigment epithelial detachments (PED). Standard metrics for fluid detection and quantification were used to evaluate performance.ResultsThe per slice receiver operating characteristic (ROC) area under the curves (AUCs) for each of these fluid types were 0.90, 0.94 and 0.94 for IRF, SRF and PED, respectively. Per volume results were 0.94 and 0.88 for IRF and PED (SRF being present in all cases). The correlation of fluid volume between the expert graders and the algorithm were 0.99 for IRF, 0.99 for SRF and 0.82 for PED.ConclusionsAutomated, deep learning-based segmentation is able to accurately detect and quantify different macular fluid types in SS-OCT data on par with expert graders.

Biological Correlations and Confounding Variables for Quantification of Retinal Ganglion Cells Based on Optical Coherence Tomography using Diversity Outbred Mice

2020 ◽  
Author(s):  
Adam Hedberg-Buenz ◽  
Kacie J. Meyer ◽  
Carly J. van der Heide ◽  
Wenxiang Deng ◽  
Kyungmoo Lee ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optic Nerve ◽  
Ganglion Cell ◽  
Cross Sections ◽  
Ganglion Cell Complex ◽  
Nuclear Staining ◽  
Optical Coherence ◽  
Retinal Ganglion ◽  
Diversity Outbred ◽  
Outbred Mice

AbstractPurposeDespite popularity of optical coherence tomography (OCT) in glaucoma studies, it’s unclear how well OCT-derived metrics compare to traditional measures of retinal ganglion cell (RGC) abundance. Here, Diversity Outbred (J:DO) mice are used to directly compare ganglion cell complex (GCC)-thickness measured by OCT to metrics of retinal anatomy measured ex vivo with retinal wholemounts or optic nerve cross sections.MethodsJ:DO mice (n = 48) underwent OCT and fundoscopic exams, with GCC-thickness measured using automated segmentation. Following euthanasia, RGC axons were quantified from para-phenylenediamine-stained optic nerve cross sections and RGC somas from BRN3A-immunolabeled retinal wholemounts with total cellularity assessed by TO-PRO or hematoxylin nuclear staining.ResultsJ:DO tissues lacked overt disease. GCC-thickness (62.4 ± 3.7 µm), RGC abundance (3,097 ± 515 BRN3A+ nuclei/mm2; 45,533 ± 9,077 axons), and total inner retinal cell abundance (6,952 ± 810 nuclei/mm2) varied broadly. GCC-thickness correlated significantly to RGC somal density (r = 0.46) and axon number (r = 0.49), whereas total inner retinal cellularity did not. Retinal area (20.3 ± 2.4 mm2) and optic nerve (0.09 ± 0.02 mm2) cross-sectional area varied widely. Sex did not significantly influence any of these metrics. In bilateral comparisons, GCC-thickness (r = 0.89), inner retinal cellularity (r = 0.47), and RGC axon abundance (r = 0.72) all correlated significantly.ConclusionsAmongst outbred mice with widely variable phenotypes, OCT-derived measurements of GCC thickness correlate significantly to RGC abundance and axon number. The extensive phenotypic variability exhibited by J:DO mice make them a powerful resource for studies of retinal anatomy using quantitative genetics.

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