1. Articles from Wen Fan

    1-4 of 4
    1. Automated segmentation of hyperreflective foci in spectral domain optical coherence tomography with diabetic retinopathy

      Automated segmentation of hyperreflective foci in spectral domain optical coherence tomography with diabetic retinopathy

      We propose an automated segmentation method to detect, segment, and quantify hyperreflective foci (HFs) in three-dimensional (3-D) spectral domain optical coherence tomography (SD-OCT). The algorithm is divided into three stages: preprocessing, layer segmentation, and HF segmentation. In this paper, a supervised classifier (random forest) was used to produce the set of boundary probabilities in which an optimal graph search method was then applied to identify and produce the layer segmentation using the Sobel edge algorithm. An automated grow-cut algorithm was applied to segment the HFs. The proposed algorithm was tested on 20 3-D SD-OCT volumes from 20 patients diagnosed with ...

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    2. Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging

      Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging

      Objective: Accurate segmentation of neurosensory retinal detachment (NRD) associated subretinal fluid in spectral domain optical coherence tomography (SD-OCT) is vital for the assessment of central serous chorioretinopathy (CSC). A novel two-stage segmentation algorithm was proposed, guided by Enface fundus imaging. Methods: In the first stage, Enface fundus image was segmented using thickness map prior to detecting the fluid-associated abnormalities with diffuse boundaries. In the second stage, the locations of the abnormalities were used to restrict the spatial extent of the fluid region, and a fuzzy level set method with a spatial smoothness constraint was applied to subretinal fluid segmentation in ...

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    3. Choroidal vasculature characteristics based choroid segmentation for enhanced depth imaging optical coherence tomography image

      Choroidal vasculature characteristics based choroid segmentation for enhanced depth imaging optical coherence tomography image

      Purpose: In clinical research, it is important to measure choroidal thickness when eyes are affected by various diseases. The main purpose is to automatically segment choroid for enhanced depth imaging optical coherence tomography (EDI-OCT) images with five B-scans averaging. Methods: The authors present an automated choroid segmentation method based on choroidal vasculature characteristics for EDI-OCT images with five B-scans averaging. By considering the large vascular of the Haller’s layer neighbor with the choroid-sclera junction (CSJ), the authors measured the intensity ascending distance and a maximum intensity image in the axial direction from a smoothed and normalized EDI-OCT image. Then ...

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    4. Automated choroid segmentation based on gradual intensity distance in HD-OCT images

      Automated choroid segmentation based on gradual intensity distance in HD-OCT images

      The choroid is an important structure of the eye and plays a vital role in the pathology of retinal diseases. This paper presents an automated choroid segmentation method for high-definition optical coherence tomography (HD-OCT) images, including Bruch’s membrane (BM) segmentation and choroidal-scleral interface (CSI) segmentation. An improved retinal nerve fiber layer (RNFL) complex removal algorithm is presented to segment BM by considering the structure characteristics of retinal layers. By analyzing the characteristics of CSI boundaries, we present a novel algorithm to generate a gradual intensity distance image. Then an improved 2-D graph search method with curve smooth constraints is ...

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    1-4 of 4
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  2. Topics in the News

    1. (2 articles) Nanjing University of Science and Technology
    2. (1 articles) Sungkyunkwan University
    3. (1 articles) Boston University
    4. (1 articles) Stanford University
    5. (1 articles) Hong Kong Polytechnic University
    6. (1 articles) University Hospital Zurich
    7. (1 articles) University of British Columbia
    8. (1 articles) University of Zurich
    9. (1 articles) Duke University
    10. (1 articles) University of São Paulo
    11. (1 articles) Cleveland Clinic
    12. (1 articles) Fiona E. Costello
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    Automated choroid segmentation based on gradual intensity distance in HD-OCT images Choroidal vasculature characteristics based choroid segmentation for enhanced depth imaging optical coherence tomography image Automatic Subretinal Fluid Segmentation of Retinal SD-OCT Images With Neurosensory Retinal Detachment Guided by Enface Fundus Imaging Automated segmentation of hyperreflective foci in spectral domain optical coherence tomography with diabetic retinopathy Special Section Guest Editorial: Advances in Retinal Imaging Optical coherence tomography angiography-derived flow density: a review of the influencing factors Changes in retinal and choriocapillaris density in diabetic patients receiving anti-vascular endothelial growth factor treatment using optical coherence tomography angiography Optical coherence tomography of patients with Parkinson’s disease and progressive supranuclear palsy Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning OCT-Based Periodontal Inspection Framework New World Resources and Perimeter Medical Imaging Provide Updates Regarding Their Amalgamation Transaction and Announce Amended and Restated Arrangement Agreement Retinal Vessel Density in Exudative and Non-Exudative Age-Related Macular Degeneration on Optical Coherence Tomography Angiography