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2. Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography
  
  Explore TVST Journal Aug 25 2020 Ophthalmology
  
  Purpose : To evaluate the role of ensemble learning techniques with deep learning in classifying diabetic retinopathy (DR) in optical coherence tomography angiography (OCTA) images and their corresponding co-registered structural images. Methods : A total of 463 volumes from 380 eyes were acquired using the 3 3-mm OCTA protocol on the Zeiss Plex Elite system. Enface images of the superficial and deep capillary plexus were exported from both the optical coherence tomography ...
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  Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University
3. Retinal capillary perfusion heterogeneity in diabetic retinopathy detected by optical coherence tomography angiography
  
  Explore IOVS Journal Jul 27 2020 Ophthalmology
  
  Purpose : To investigate the ability of a commercially available optical coherence tomography angiography (OCTA) machine to describe retinal capillary perfusion heterogeneity in diabetic retinopathy (DR) patients. Methods : Ten consecutive en face 6x6mm foveal OCTA images were obtained from both eyes of 13 DR patients and 5 healthy controls using a Zeiss PLEX Elite 9000. Fifteen DR and eight healthy eyes met the inclusion criteria: a centered fovea, little motion artifacts ...
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  Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University
4. Sensorless adaptive-optics optical coherence tomographic angiography
  
  Explore OSA | OSA Publishing Jul 1 2020
  
  Optical coherence tomographic angiography (OCTA) can image the retinal blood flow but visualization of the capillary caliber is limited by the low lateral resolution. Adaptive optics (AO) can be used to compensate ocular aberrations when using high numerical aperture (NA), and thus improve image resolution. However, previously reported AO-OCTA instruments were large and complex, and have a small sub-millimeter field of view (FOV) that hinders the extraction of biomarkers with ...
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  Mentions: David Huang Oregon Health & Science University Yali Jia
5. Pseudo-real-time retinal layer segmentation for high-resolution adaptive optics optical coherence tomography
  
  Explore arxiv.org Apr 17 2020 Ophthalmology
  
  We present a pseudo-real-time retinal layer segmentation for high-resolution Sensorless Adaptive Optics-Optical Coherence Tomography (SAO-OCT). Our pseudo-real-time segmentation method is based on Dijkstras algorithm that uses the intensity of pixels and the vertical gradient of the image to find the minimum cost in a geometric graph formulation within a limited search region. It segments six retinal layer boundaries in an iterative process according to their order of prominence. The segmentation ...
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  Mentions: Oregon Health & Science University Marinko V. Sarunic Simon Fraser University
6. ADAPTIVE OPTICS OPTICAL COHERENCE TOMOGRAPHY IN A CASE OF ACUTE ZONAL OCCULT OUTER RETINOPATHY
  
  Explore LWW Online Apr 15 2020 Ophthalmology
  
  Purpose: To report a case of acute zonal occult outer retinopathy in which adaptive optics (AO) facilitated visualization of abnormal photoreceptors previously thought to be in an area of normal retina on conventional optical coherence tomography ( OCT ). Methods: Case report. Results: A 51-year-old woman presents with 11-month history of photopsias and scotoma in the temporal visual field of her left eye. Ocular imaging including fluorescein angiography, fundus autofluorescence and OCT ...
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  Mentions: University of British Columbia Tufts University Marinko V. Sarunic
7. Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence
  
  Explore arxiv.org Dec 15 2019
  
  Optical coherence tomography (OCT) is a non-invasive imaging technology which can provide micrometer-resolution cross-sectional images of the inner structures of the eye. It is widely used for the diagnosis of ophthalmic diseases with retinal alteration, such as layer deformation and fluid accumulation. In this paper, a novel framework was proposed to segment retinal layers with fluid presence. The main contribution of this study is two folds: 1) we developed a ...
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  Mentions: Marinko V. Sarunic Simon Fraser University Sieun Lee
8. RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
  
  Explore IEEE Xplore Aug 1 2019 Ophthalmology
  
  Retinal swelling due to the accumulation of fluid is associated with the most vision-threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of care in assessing the presence and quantity of retinal fluid and image-guided treatment management. Deep learning methods have made their impact across medical imaging, and many retinal OCT analysis methods have been proposed. However, it is currently not clear how successful they are in interpreting ...
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  Mentions: University of Central Florida Simon Fraser University Nanjing University of Science and Technology
9. Directional optical coherence tomography reveals melanin concentration-dependent scattering properties of retinal pigment epithelium
  
  Explore SPIE Digital Library Jul 6 2019 Ophthalmology
  
  Optical coherence tomography (OCT) is a powerful tool in ophthalmology that provides in vivo morphology of the retinal layers and their light scattering properties. The directional (angular) reflectivity of the retinal layers was investigated with focus on the scattering from retinal pigment epithelium (RPE). The directional scattering of the RPE was studied in three mice strains with three distinct melanin concentrations: albino (BALB/c), agouti (129S1/SvlmJ), and strongly pigmented ...
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  Mentions: Oregon Health & Science University UC Davis Robert J. Zawadzki
10. Multi-scale and -contrast sensorless adaptive optics optical coherence tomography
  
  Explore Home May 28 2019 Ophthalmology
  
  Background: The roles of the retinal microvasculature and the retinal pigment epithelium (RPE) in maintaining the health and metabolic activity of the retina lend great clinical value to their high-resolution visualization. Methods: By integrating polarization diversity detection (PDD) into multi-scale and -contrast sensorless adaptive optics optical coherence tomography (MSC-SAO-OCT), we have developed a novel multi-contrast SAO OCT system for imaging pigment in the RPE as well as flow in the ...
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  Mentions: Shuichi Makita Yoshiaki Yasuno Oregon Health & Science University
11. Slope-based segmentation of articular cartilage using polarization-sensitive optical coherence tomography phase retardation image
  
  Explore SPIE Digital Library Mar 19 2019
  
  A segmentation method based on phase retardation measurements from polarization-sensitive optical coherence tomography (PS-OCT) is developed to differentiate the structural zones of articular cartilage. The organization of collagen matrix in articular cartilage varies over the different structural zones, generating different tissue birefringence. Analyzing the slope of the accumulated phase retardation at different depths can detect the variation in tissue birefringence and be used to segment the structural zones. The method ...
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  Mentions: University of British Columbia Simon Fraser University Myeong Jin Ju
12. Deep-Learning based Multiclass Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using a Fully Convolutional Neural Network
  
  Explore ScienceDirect Feb 26 2019 Ophthalmology
  
  As a non-invasive imaging modality, optical coherence tomography (OCT) can provide micrometer-resolution 3D images of retinal structures. These images can help reveal disease-related alterations below the surface of the retina, such as the presence of edema, or accumulation of fluid which can distort vision, and are an indication of disruptions in the vasculature of the retina. In this paper, a new framework is proposed for multiclass fluid segmentation and detection ...
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  Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University
13. EN FACE OPTICAL COHERENCE TOMOGRAPHY AND OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF INNER RETINAL DIMPLES AFTER INTERNAL LIMITING MEMBRANE PEELING FOR FULL-THICKNESS MACULAR HOLES
  
  Explore LWW Online Jan 28 2019 Ophthalmology
  
  Purpose: To quantitatively and qualitatively evaluate the microvascular and structural abnormalities associated with inner retinal dimpling after internal limiting membrane peeling for full-thickness macular holes using sequential en face optical coherence tomography ( OCT ) and OCT angiography. Methods: Thirteen eyes of 13 patients with idiopathic full-thickness macular holes were enrolled in the study. Patients were treated with pars plana vitrectomy , internal limiting membrane peeling, and gas tamponade. Subjects were evaluated preoperatively ...
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  Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University
14. Aperture phase modulation with adaptive optics
  
  Explore OSA | OSA Publishing Jan 16 2019
  
  Speckle is an inevitable consequence of the use of coherent light in imaging and acts as noise that corrupts image formation in most applications. Optical coherence tomographic imaging, as a technique employing coherence time gating, suffers from speckle. We present here a novel method of suppressing speckle noise intrinsically compatible with adaptive optics (AO) for confocal coherent imaging: modulation of the phase in the system pupil aperture with a segmented ...
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  Mentions: Oregon Health & Science University UC Davis Robert J. Zawadzki
15. Automated identification of cone photoreceptors in adaptive optics optical coherence tomography images using transfer learning
  
  Explore OSA | OSA Publishing Oct 16 2018 Ophthalmology
  
  Automated measurements of the human cone mosaic requires the identification of individual cone photoreceptors. The current gold standard, manual labeling, is a tedious process and can not be done in a clinically useful timeframe. As such, we present an automated algorithm for identifying cone photoreceptors in adaptive optics optical coherence tomography (AO-OCT) images. Our approach fine-tunes a pre-trained convolutional neural network originally trained on AO scanning laser ophthalmoscope (AO-SLO) images ...
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  Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University
16. Visible light sensorless adaptive optics for retinal structure and fluorescence imaging
  
  Explore OSA | OSA Publishing Oct 16 2018 Ophthalmology
  
  Optical coherence tomography (OCT) has emerged as a powerful imaging instrument and technology in biomedicine. OCT imaging is predominantly performed using wavelengths in the near infrared; however, visible light (VIS) has been recently employed in OCT systems with encouraging results for high-resolution retinal imaging. Using a broadband supercontinuum VIS source, we present a sensorless adaptive optics (SAO) multimodal imaging system driven by VIS-OCT for volumetric retinal structural imaging, followed by ...
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  Mentions: Oregon Health & Science University Marinko V. Sarunic Simon Fraser University
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