1. Marinko V. Sarunic

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    1. Mentioned In 79 Articles

    2. Use of the Retinal Vascular Histology to Validate an Optical Coherence Tomography Angiography Technique

      Use of the Retinal Vascular Histology to Validate an Optical Coherence Tomography Angiography Technique
      Purpose: To determine the fidelity of optical coherence tomography angiography (OCTA) techniques by direct comparison of the retinal capillary network images obtained from the same region as imaged by OCTA and high-resolution confocal microscope. Method: Ten porcine eyes were perfused with red blood cells for OCTA image acquisition from the area centralis and then perfusion-fixed, and the vessels were labeled for confocal imaging. Two approaches involving post-processing of two-dimensional projection ...
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    3. Quantitative multi-contrast in vivo mouse imaging with polarization diversity optical coherence tomography and angiography

      Quantitative multi-contrast in vivo mouse imaging with polarization diversity optical coherence tomography and angiography
      Retinal microvasculature and the retinal pigment epithelium (RPE) play vital roles in maintaining the health and metabolic activity of the eye. Visualization of these retina structures is essential for pre-clinical studies of vision-robbing diseases, such as age-related macular degeneration (AMD). We have developed a quantitative multi-contrast polarization diversity OCT and angiography (QMC-PD-OCTA) system for imaging and visualizing pigment in the RPE using degree of polarization uniformity (DOPU), along with flow ...
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    4. Real-time retinal layer segmentation of OCT volumes with GPU accelerated inferencing using a compressed, low-latency neural network

      Real-time retinal layer segmentation of OCT volumes with GPU accelerated inferencing using a compressed, low-latency neural network
      Segmentation of retinal layers in optical coherence tomography (OCT) is an essential step in OCT image analysis for screening, diagnosis, and assessment of retinal disease progression. Real-time segmentation together with high-speed OCT volume acquisition allows rendering of en face OCT of arbitrary retinal layers, which can be used to increase the yield rate of high-quality scans, provide real-time feedback during image-guided surgeries, and compensate aberrations in adaptive optics (AO) OCT ...
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    5. Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography

      Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography
      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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    6. Retinal capillary perfusion heterogeneity in diabetic retinopathy detected by optical coherence tomography angiography

      Retinal capillary perfusion heterogeneity in diabetic retinopathy detected by optical coherence tomography angiography
      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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    7. Pseudo-real-time retinal layer segmentation for high-resolution adaptive optics optical coherence tomography

      Pseudo-real-time retinal layer segmentation for high-resolution adaptive optics optical coherence tomography
      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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    8. ADAPTIVE OPTICS OPTICAL COHERENCE TOMOGRAPHY IN A CASE OF ACUTE ZONAL OCCULT OUTER RETINOPATHY

      ADAPTIVE OPTICS OPTICAL COHERENCE TOMOGRAPHY IN A CASE OF ACUTE ZONAL OCCULT OUTER RETINOPATHY
      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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    9. Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence

      Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence
      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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    10. Multi-scale and -contrast sensorless adaptive optics optical coherence tomography

      Multi-scale and -contrast sensorless adaptive optics optical coherence tomography
      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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    11. System and method for dynamic focus control

      System and method for dynamic focus control
      En face views of OCT volumes provide important and complementing visualizations of the retina and optic nerve head investigating biomarkers of diseases affecting the retina. We demonstrate the combination of real time processing of OCT volumetric data for axial tracking. In combination with a Controllable Optical Element (COE), this invention demonstrates acquisition, real time tracking, automated focus on depth resolved en face layers extracted from a volume, and focus stacked ...
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    12. Deep-Learning based Multiclass Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using a Fully Convolutional Neural Network

      Deep-Learning based Multiclass Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using a Fully Convolutional Neural Network
      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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    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

      EN FACE OPTICAL COHERENCE TOMOGRAPHY AND OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF INNER RETINAL DIMPLES AFTER INTERNAL LIMITING MEMBRANE PEELING FOR FULL-THICKNESS MACULAR HOLES
      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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    14. Automated identification of cone photoreceptors in adaptive optics optical coherence tomography images using transfer learning

      Automated identification of cone photoreceptors in adaptive optics optical coherence tomography images using transfer learning
      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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  2. About Marinko V. Sarunic

    Marinko V. Sarunic

    Marinko V. Sarunic is an Associate Professor, School of Engineering Science, Simon Fraser University, Vancouver, Canada. Dr. Marinko Sarunic is an SFU alumnus, having received a B.A.Sc. in Engineering Physics from Simon Fraser University in 1998. He continued on at SFU for a M.A.Sc. thesis, under the supervision of Dr. Glenn Chapman. In 2006, he completed a PhD at Duke University with a research focus on Fourier domain optical coherence tomography.