1. Articles from Delia Cabrera DeBuc

    1-24 of 28 1 2 »
    1. Identification of Retinal Biomarkers in Alzheimer’s Disease Using Optical Coherence Tomography: Recent Insights, Challenges, and Opportunities

      Identification of Retinal Biomarkers in Alzheimer’s Disease Using Optical Coherence Tomography: Recent Insights, Challenges, and Opportunities

      This review will highlight recent insights into measuring retinal structure in Alzheimer’s disease (AD). A growing body of evidence indicates that disturbances in retinal blood flow and structure are related to cognitive function, which can severely impair vision. Optical coherence tomography (OCT) is an optical imaging technology that may allow researchers and physicians to gain deeper insights into retinal morphology and clarify the impact of AD on retinal health and function. Direct and noninvasive measurement of retinal morphology using OCT has provided useful diagnostic and therapeutic indications in several central nervous system (CNS) diseases, including AD, multiple sclerosis, and ...

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    2. Reflectance and thickness analysis of retinal layers in patients with epiretinal membranes using spectral-domain optical coherence tomography before and after vitrectomy with membrane peeling

      Reflectance and thickness analysis of retinal layers in patients with epiretinal membranes using spectral-domain optical coherence tomography before and after vitrectomy with membrane peeling

      Objective To compare thickness and reflectance of retinal layer findings in patients with idiopathic epiretinal membranes (ERMs), before and after surgery, to normal controls. Design A retrospective study Subjects Patients with ERMs before and after surgery and normal controls. Methods Spectral domain optical coherence tomography (SD-OCT) of eyes with ERMs, before and after surgery, and normal eyes were analyzed for morphologic appearance and using a customized algorithm to measure retinal layer reflectance and thickness. Findings were correlated with visual acuity outcomes. Main Outcome Measure Retinal layer thickness and reflectance Results Thirty-four ERM and 12 normal eyes were identified. Mean preoperative ...

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    3. First workshop on artificial intelligence applied to retinal image analysis, Perth Australia, December 2018.

      First workshop on artificial intelligence applied to retinal image analysis, Perth Australia, December 2018.

      Medical imaging has now embraced AI methods based on deep learning (DL) approaches for medical image analytics. This has been especially true for retinal image analysis where large annotated datasets have been available for over 10 years. Recent studies starting in 2016 have demonstrated on par with human performance for diagnostic tasks such as screening for diabetic retinopathy and macular degeneration. Recently, in 2018, the FDA approved the first software device for retinal diagnostics. The goal of this workshop is to showcase recent developments in AI for retinal image analysis and as a follow up on recent meetings at ARVO ...

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    4. The Use of Optical Coherence Tomography for the Detection of Early Diabetic Retinopathy

      The Use of Optical Coherence Tomography for the Detection of Early Diabetic Retinopathy

      Diabetic retinopathy (DR) is one of the leading causes of vision loss globally with a severe burden on all societies due to its high treatment and rehabilitation costs. The early diagnosis of DR may provide preventive steps (including retinal laser therapy and tight carbohydrate, blood pressure, and cholesterol control) that could in turn help to avoid progression of the pathology with the resultant vision loss. Optical coherence tomography (OCT) enables the in vivo structural imaging of the retina, providing both qualitative (structure) and quantitative (thickness) information. In the past decades, extensive OCT research has been done in the field of ...

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    5. Optical Coherence Tomography for Assessment of Epithelialization in a Human Ex Vivo Wound Model

      Optical Coherence Tomography for Assessment of Epithelialization in a Human Ex Vivo Wound Model

      The ex vivo human skin wound model is a widely accepted model to study wound epithelialization. Due to a lack of animal models that fully replicate human conditions, the ex vivo model is a valuable tool to study mechanisms of wound re-epithelialization, as well as for pre-clinical testing of novel therapeutics. The current standard for assessment of wound healing in this model is histomorphometric analysis, which is labor intensive, time consuming, and requires multiple biological and technical replicates in addition to assessment of different time points. Optical Coherence Tomography (OCT) is an emerging non-invasive imaging technology originally developed for non-invasive ...

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    6. Noninvasive, High-Resolution Functional Macular Imaging in Subjects With Retinal Vein Occlusion

      Noninvasive, High-Resolution Functional Macular Imaging in Subjects With Retinal Vein Occlusion

      BACKGROUND AND OBJECTIVES: Several imaging modalities have been developed to characterize ischemia inherent in retinal vascular diseases. This study aims to predict the impact and to better establish the mechanisms of visual deterioration. A high-resolution functional imaging device is used, yielding quantitative data for macular blood flow and capillary network features in healthy eyes and in eyes with central retinal vein occlusion (CRVO) or branch retinal vein occlusion (BRVO). PATIENTS AND METHODS: This prospective, cross-sectional, comparative case series measured blood flow velocities (BFVs) and noninvasive capillary perfusion maps (nCPMs) in macular vessels in patients with BRVO/CRVO and in healthy ...

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    7. Two-dimensional fractal analysis of retinal tissue of healthy and diabetic eyes with optical coherence tomography

      Two-dimensional fractal analysis of retinal tissue of healthy and diabetic eyes with optical coherence tomography

      In the ophthalmic research, the measurement of the retinal thickness is usually employed for characterizing the structural changes of the retinal tissue. However, changes in the fractal dimension (FD) may provide additional information regarding the structure of the retinal layers and their early damage in ocular diseases. In the present paper, we investigated the possibility of detecting changes in the structure of the cellular layers of the retina by applying a two-dimensional fractal analysis to optical coherence tomography (OCT) images. OCT images were obtained from diabetic patients without retinopathy (DM, n = 38 eyes) and with mild diabetic retinopathy (MDR, n ...

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    8. Performance evaluation of automated segmentation software on optical coherence tomography volume data

      Performance evaluation of automated segmentation software on optical coherence tomography volume data

      Over the past two decades a significant number of OCT segmentation approaches have been proposed in the literature. Each methodology has been conceived for and/or evaluated using specific datasets that do not reflect the complexities of the majority of widely available retinal features observed in clinical settings. In addition, there does not exist an appropriate OCT dataset with ground truth that reflects the realities of everyday retinal features observed in clinical settings. While the need for unbiased performance evaluation of automated segmentation algorithms is obvious, the validation process of segmentation algorithms have been usually performed by comparing with manual ...

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    9. Reflectivity and thickness analysis of epiretinal membranes using spectral-domain optical coherence tomography

      Reflectivity and thickness analysis of epiretinal membranes using spectral-domain optical coherence tomography

      AIM : To compare thickness and reflectivity spectral domain optical coherence tomography (SD-OCT) findings in patients with idiopathic epiretinal membranes (ERMs), before and after ERM peeling surgery, with normal controls. METHODS : A retrospective study analyzed SD-OCTs of eyes with ERMs undergoing ERM peeling surgery by one surgeon from 2008 to 2010 and normal control eyes. SD-OCTs were analyzed using a customized algorithm to measure reflectivity and thickness. The relationship between the SD-OCT findings and best corrected visual acuity (BCVA) outcomes was also studied. RESULTS : Thirty-four ERM eyes and 12 normal eyes were identified. Preoperative eyes had high reflectivity and thickness of ...

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    10. Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region

      Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region

      Optical coherence tomography (OCT) is a high speed, high resolution and non-invasive imaging modality that enables the capturing of the 3D structure of the retina. The fast and automatic analysis of 3D volume OCT data is crucial taking into account the increased amount of patient-specific 3D imaging data. In this work, we have developed an automatic algorithm, OCTRIMA 3D (OCT Retinal IMage Analysis 3D), that could segment OCT volume data in the macular region fast and accurately. The proposed method is implemented using the shortest-path based graph search, which detects the retinal boundaries by searching the shortest-path between two end ...

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    11. The effect of incorrect scanning distance on boundary detection errors and macular thickness measurements by spectral domain optical coherence tomography: a cross sectional study

      The effect of incorrect scanning distance on boundary detection errors and macular thickness measurements by spectral domain optical coherence tomography: a cross sectional study

      Background To investigate the influence of scan distance on retinal boundary detection errors (RBDEs) and retinal thickness measurements by spectral domain optical coherence tomography (SD-OCT). Methods 10 eyes of healthy subjects, 10 eyes with diabetic macular edema (DME) and 10 eyes with neovascular age-related macular degeneration (AMD) were examined with RTVue SD-OCT. The MM5 protocol was used in two consecutive sessions to scan the macula. For the first session, the device was set 3.5 cm from the eye in order to obtain detectable signal with low fundus image quality (suboptimal setting) while in the second session a distance of ...

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    12. Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage

      Fractal-based analysis of optical coherence tomography data to quantify retinal tissue damage

      Background The sensitivity of Optical Coherence Tomography (OCT) images to identify retinal tissue morphology characterized by early neural loss from normal healthy eyes is tested by calculating structural information and fractal dimension. OCT data from 74 healthy eyes and 43 eyes with type 1 diabetes mellitus with mild diabetic retinopathy (MDR) on biomicroscopy was analyzed using a custom-built algorithm (OCTRIMA) to measure locally the intraretinal layer thickness. A power spectrum method was used to calculate the fractal dimension in intraretinal regions of interest identified in the images. ANOVA followed by Newman-Keuls post-hoc analyses were used to test for differences between ...

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    13. A Morphological Study of Retinal Changes in Unilateral Amblyopia Using Optical Coherence Tomography Image Segmentation

      A Morphological Study of Retinal Changes in Unilateral Amblyopia Using Optical Coherence Tomography Image Segmentation

      Objective The purpose of this study was to evaluate the possible structural changes of the macula in patients with unilateral amblyopia using optical coherence tomography (OCT) image segmentation. Patients and Methods 38 consecutive patients (16 male; mean age 32.4±17.6 years; range 6–67 years) with unilateral amblyopia were involved in this study. OCT examinations were performed with a time-domain OCT device, and a custom-built OCT image analysis software (OCTRIMA) was used for OCT image segmentation. The axial length (AL) was measured by a LenStar LS 900 device. Macular layer thickness, AL and manifest spherical equivalent refraction (MRSE ...

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    14. Post-Doc Opening at the University Of Miami School Of Medicine, Department of Ophthalmology

      Post-Doc Opening at the University Of Miami School Of Medicine, Department of Ophthalmology

      The University Of Miami School Of Medicine, Department of Ophthalmology, has an immediate opening for a highly-qualified, self-motivated post-doctoral fellow to join our research program in biomedical imaging and computer-aided diagnosis. The research will involve development of image processing and 3D image analysis methods and software for detection and analysis of abnormalities on medical images such as optical coherence tomography, fluorescein angiography and fundus images. Responsibilities: * The candidate will be responsible for developing software algorithms for medical images. * Hands on designing image processing algorithms for registration, segmentation, analysis, and visualization of medical image data. * Responsible for the acquisition and/or ...

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    15. Retinal oximetry using ultrahigh-resolution optical coherence tomography

      Retinal oximetry using ultrahigh-resolution optical coherence tomography

      Background: The purpose of this study was to investigate the repeatability of retinal oximetry using slit-lamp adapted ultrahigh-resolution optical coherence tomography (SL-UHR-OCT). Methods: SL-UHR-OCT was developed and fringe patterns were obtained for a major retinal artery and a major retinal vein. A-scans at the central wavelengths of 805 nm and 855 nm were analyzed for calculating optical density ratios (ODRs), from which the percentage oxygen saturation was calculated. Measurements were made on two occasions for each person. Repeatability and coefficients of repeatability were calculated. Results: The mean ODRs of the artery were 0.79 ± 0.86 and 0.88 ± 0 ...

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    16. Quantitative analysis of the intraretinal layers and optic nerve head using ultra-high resolution optical coherence tomography

      Quantitative analysis of the intraretinal layers and optic nerve head using ultra-high resolution optical coherence tomography

      This study is designed to test the repeatability of the quantitative analysis of intraretinal layer thickness and cup-disc ratio of the optic nerve head using ultra-high resolution optical coherence tomography (UHR-OCT). Group A, containing 23 eyes of 12 healthy subjects, was imaged twice and group B, containing eight eyes of four subjects, was imaged three times. Intraretinal layers were segmented manually and the cup-to-disc ratio of the optic nerve head was analyzed. Custom-built automatic segmentation software was also used to segment a set of images for comparison. A total of nine intraretinal layers were visualized and extracted manually. With group ...

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    17. Macular morphology assessed by optical coherence tomography image segmentation after femtosecond laser–assisted and standard cataract surgery

      Macular morphology assessed by optical coherence tomography image segmentation after femtosecond laser–assisted and standard cataract surgery

      Purpose: To evaluate and compare thickness changes in the retinal layers in the macula with optical coherence tomography (OCT) segmentation software after femtosecond laser–assisted phacoemulsification (study group) and conventional phacoemulsification (control group).Setting: Department of Ophthalmology, Semmelweis University, Budapest, Hungary.Design: Case-control study.Methods: Total retinal thickness of the macula was evaluated using Stratus OCT 4 to 8 weeks postoperatively. The OCT images were segmented using OCT retinal image analysis software. Regional thickness data in the central area, inner rings, and outer rings were obtained and absolute and relative thicknesses of the individual retinal layers in the 2 study ...

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    18. Optical Coherence Tomography: Recent Developments on Structural and Functional Imaging - Call For Papers

      Optical Coherence Tomography: Recent Developments on Structural and Functional Imaging - Call For Papers

      Optical coherence tomography (OCT) provides in vivo cross-sectional and coronal imaging of the ocular fundus and anterior segment. Since its introduction in 1991, OCT evolved not only in its technical basis, from time domain to spectral domain, but also in the field of application, from structure to function. Increased resolution and scanning speed allow OCT to deliver high-quality structural information in a few seconds from the start of the acquisition to the final volumetric scan displayed on a computer screen. OCT provides both qualitative information, such as structural changes during followup, and quantitative parameters, such as the full thickness of ...

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    19. In Vivo Evaluation of Retinal Neurodegeneration in Patients with Multiple Sclerosis

      In Vivo Evaluation of Retinal Neurodegeneration in Patients with Multiple Sclerosis
      To evaluate macular morphology in the eyes of patients with multiple sclerosis (MS) with or without optic neuritis (ON) in previous history. Optical coherence tomography (OCT) examination was performed in thirty-nine patients with MS and in thirty-three healthy subjects. The raw macular OCT data were processed using OCTRIMA software. The circumpapillary retinal nerve fiber layer (RNFL) thickness and the weighted mean thickness of the total retina and 6 intraretinal layers were obtained for each
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    20. Investigation of changes in thickness and reflectivity from layered retinal structures of healthy and diabetic eyes with optical coherence tomography

      Investigation of changes in thickness and reflectivity from layered retinal structures of healthy and diabetic eyes with optical coherence tomography
      OCT is usually employed for the measurement of retinal thickness. However, coherent reflected light carries more information characterizing the optical properties of tissue. Therefore, optical property changes may provide further information regarding cellular layers and early damage in ocular diseases. We investigated the possibility of OCT in detecting changes in the optical backscattered signal from layered retinal structures. OCT images were obtained from diabetic patients without retinopathy (DM, n = 38 eyes) or mild diabetic retinopathy (MDR, n = 43 eyes) and normal healthy subjects (n = 74 eyes). The thickness and reflectivity of various layered structures were assessed using a custom-built algorithm ...
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    21. The structure and function of the macula in patients with advanced retinitis pigmentosa

      The structure and function of the macula in patients with advanced retinitis pigmentosa
      Purpose: To assess the structure and function of the macula in advanced retinitis pigmentosa (RP). Methods: Twenty-nine eyes of 22 patients with RP were compared against 17 control eyes. Time-domain optical coherence tomography (OCT) data were processed using OCTRIMA as a means of quantifying Stratus OCT images. The thickness of the retinal nerve fiber layer (RNFL), ganglion cell layer and inner plexiform layer complex (GCL+IPL), inner nuclear layer and outer plexiform layer complex (INL+OPL) and the outer nuclear layer (ONL) were measured. Multifocal electroretinography (mfERG) was performed; two groups were formed based on the mfERG findings. Fourteen eyes ...
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    22. Layer extraction in rodent retinal images acquired by optical coherence tomography

      Layer extraction in rodent retinal images acquired by optical coherence tomography
      Abstract  Optical coherence tomography (OCT) is a modern technique that allows for in vivo, fast, high-resolution 3D imaging. OCT can be efficiently used in eye research and diagnostics, when retinal images are processed to extract borders of retinal layers. In this paper, we present two novel algorithms for delineation of three main borders in rodent retinal images. The first, fast algorithm is based on row projections in a sliding window. It provides initial borders for a slower but more precise variational algorithm that iteratively refines the borders. The results obtained by the two algorithms are quantitatively evaluated by comparison to ...
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    23. Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography

      Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography
      Image segmentation is an important process of image analysis. It consists of subdividing an image into its constituent parts and extracting these interesting parts. A variety of segmentation algorithms have been developed to analyze retinal image data using optical coherence tomography (OCT). The evaluation and comparison of these algorithms turns out to be important and even indispensable for correctly using them. This chapter aims to make a review on the current segmentation algorithms used for OCT retinal images. Algorithms are classified according to their principal methodologies. Typical algorithms of each type are discussed and the main ideas, applications, advantages and ...
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    24. Comparison of retinal thickness by Fourier-domain optical coherence tomography and OCT retinal image analysis software segmentation analysis derived from Stratus optical coherence tomography images

      Comparison of retinal thickness by Fourier-domain optical coherence tomography and OCT retinal image analysis software segmentation analysis derived from Stratus optical coherence tomography images
      Purpose: To compare thickness measurements between Fourier-domain optical coherence tomography (FD-OCT) and time-domain OCT images analyzed with a custom-built OCT retinal image analysis software (OCTRIMA). Methods: Macular mapping (MM) by StratusOCT and MM5 and MM6 scanning protocols by an RTVue-100 FD-OCT device are performed on 11 subjects with no retinal pathology. Retinal thickness (RT) and the thickness of the ganglion cell complex (GCC) obtained with the MM6 protocol are compared for each early treatment diabetic retinopathy study (ETDRS)-like region with corresponding results obtained with OCTRIMA. RT results are compared by analysis of variance with Dunnett post hoc test, while ...
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    1-24 of 28 1 2 »
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    1. (28 articles) Delia Cabrera DeBuc
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    Early detection of retinal thickness changes in diabetes using Optical Coherence Tomography Improving image segmentation performance and quantitative analysis via a computer-aided grading methodology for optical coherence tomography retinal image analysis Retinal Layer Thickness Changes in Eyes With Preserved VisualAcuity and Diffuse Diabetic Macular Edema on Optical CoherenceTomography Comparison of retinal thickness by Fourier-domain optical coherence tomography and OCT retinal image analysis software segmentation analysis derived from Stratus optical coherence tomography images Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography Layer extraction in rodent retinal images acquired by optical coherence tomography The structure and function of the macula in patients with advanced retinitis pigmentosa In Vivo Evaluation of Retinal Neurodegeneration in Patients with Multiple Sclerosis Macular morphology assessed by optical coherence tomography image segmentation after femtosecond laser–assisted and standard cataract surgery Post-Doc Opening at the University Of Miami School Of Medicine, Department of Ophthalmology Measurement of the Shrinkage of Natural and Simulated Lesions on Root Surfaces using CP-OCT Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images