1. Marinko V. Sarunic

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    1. Mentioned In 74 Articles

    2. Pseudo-real-time retinal layer segmentation for high-resolution adaptive optics optical coherence tomography

      Explore arxiv.org Ophthalmology
      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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      Mentions: Oregon Health & Science University Marinko V. Sarunic Simon Fraser University

    3. ADAPTIVE OPTICS OPTICAL COHERENCE TOMOGRAPHY IN A CASE OF ACUTE ZONAL OCCULT OUTER RETINOPATHY

      Explore LWW Online Ophthalmology
      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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      Mentions: University of British Columbia Tufts University Marinko V. Sarunic

    4. Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence

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      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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      Mentions: Marinko V. Sarunic Simon Fraser University Sieun Lee

    6. Multi-scale and -contrast sensorless adaptive optics optical coherence tomography

      Explore Home Ophthalmology
      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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      Mentions: Shuichi Makita Yoshiaki Yasuno Oregon Health & Science University

    7. System and method for dynamic focus control

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      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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      Mentions: Marinko V. Sarunic

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

      Explore ScienceDirect Ophthalmology
      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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      Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University

    9. 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 Ophthalmology
      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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      Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University

    11. Automated identification of cone photoreceptors in adaptive optics optical coherence tomography images using transfer learning

      Explore OSA | OSA Publishing Ophthalmology
      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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      Mentions: University of British Columbia Marinko V. Sarunic Simon Fraser University

    12. Visible light sensorless adaptive optics for retinal structure and fluorescence imaging

      Explore OSA | OSA Publishing Ophthalmology
      Visible light sensorless adaptive optics for retinal structure and fluorescence imaging
      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

    13. Aperture Phase Modulation with Adaptive Optics: A Novel Approach for Speckle Reduction and Structure Extraction in Optical Coherence Tomography

      Explore bioRxiv.org Ophthalmology
      Aperture Phase Modulation with Adaptive Optics: A Novel Approach for Speckle Reduction and Structure Extraction in Optical Coherence Tomography
      Speckle is an inevitable consequence of the use of coherent light in optical coherence tomography (OCT), and often acts as noise that obscures micro-structures of biological tissue. We here present a novel method of suppressing speckle noise intrinsically compatible with adaptive optics (AO) in OCT system: by modulating the phase inside the imaging system pupil aperture with a segmented deformable mirror, thus producing minor perturbations in the point spread function ...
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      Mentions: Oregon Health & Science University UC Davis Robert J. Zawadzki

    14. Label‐free volumetric imaging of conjunctival collecting lymphatics ex vivo by optical coherence tomography lymphangiography

      Explore Wiley Online Library
      Label‐free volumetric imaging of conjunctival collecting lymphatics ex vivo by optical coherence tomography lymphangiography
      We employ optical coherence tomography (OCT) and optical coherence microscopy (OCM) to study conjunctival lymphatics in porcine eyes ex vivo . This study is a precursor to the development of in vivo imaging of the collecting lymphatics for potentially guiding and monitoring glaucoma filtration surgery. OCT scans at 1300 nm and higher‐resolution OCM scans at 785 nm reveal the lymphatic vessels via their optical transparency. Equivalent signal characteristics are also ...
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      Mentions: David D. Sampson University of Western Australia Qiang Wang

    15. Effective bidirectional scanning pattern for optical coherence tomography angiography

      Explore OSA | OSA Publishing Ophthalmology
      Effective bidirectional scanning pattern for optical coherence tomography angiography
      We demonstrate the utility of a novel scanning method for optical coherence tomography angiography (OCTA). Although raster scanning is commonly used for OCTA imaging, a bidirectional approach would lessen the distortion caused by galvanometer-based scanners as sources continue to increase sweep rates. As shown, a unidirectional raster scan approach has a lower effective scanning time than bidirectional approaches; however, a strictly bidirectional approach causes contrast variation along the B-scan direction ...
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      Mentions: Marinko V. Sarunic Simon Fraser University Myeong Jin Ju

    16. Investigation of the effect of directional (off-axis) illumination on the reflectivity of retina layers in mice using swept-source optical coherence tomography

      Explore SPIE Digital Library Ophthalmology
      Investigation of the effect of directional (off-axis) illumination on the reflectivity of retina layers in mice using swept-source optical coherence tomography
      Changes in visibility of the Henle fiber layer and photoreceptor bands of the human retina with illumination directionality have been reported in OCT clinical imaging. These are a direct consequence of the changes in back scattering due to fibrous tissue orientation and to waveguiding properties of the photoreceptors respectively. Here we report the preliminary results of a study on the effects of retinal images acquired with OCT of illumination directionality ...
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      Mentions: UC Davis Robert J. Zawadzki Marinko V. Sarunic
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  4. 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.

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