1. Articles mentioning both Soochow University and Haoyu Chen

    1-13 of 13
    1. Retinal Optical Coherence Tomography Image Analysis (Textbook)

      Retinal Optical Coherence Tomography Image Analysis (Textbook)
      This book introduces the latest optical coherence tomography (OCT) imaging and computerized automatic image analysis techniques, and their applications in the diagnosis and treatment of retinal diseases. Discussing the basic principles and the clinical applications of OCT imaging, OCT image preprocessing, as well as the automatic detection and quantitative analysis of retinal anatomy and pathology, it includes a wealth of clinical OCT images, and state-of-the-art research that applies novel image ...
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    2. Effect Of Optic Disk—Fovea Distance On Measurements Of Individual Macular Intraretinal Layers In Normal Subjects

      Effect Of Optic Disk—Fovea Distance On Measurements Of Individual Macular Intraretinal Layers In Normal Subjects
      Purpose: To investigate the effect of optic diskfovea distance (DFD) on measurements of macular intraretinal layers using spectral domain optical coherence tomography in normal subjects. Methods: One hundred and eighty-two eyes from 182 normal subjects were imaged using spectral domain optical coherence tomography. The average thicknesses of eight macular intraretinal layers were measured using an automatic segmentation algorithm. Partial correlation test and multiple regression analysis were used to determine the ...
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    3. Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation

      Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation
      Optic nerve head (ONH) is a crucial region for glaucoma detection and tracking based on spectral domain optical coherence tomography (SD-OCT) images. In this region, the existence of a hole structure makes retinal layer segmentation and analysis very challenging. To improve retinal layer segmentation, we propose a 3D method for ONH centered SD-OCT image segmentation, which is based on a modified graph search algorithm with a shared-hole and locally adaptive ...
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    4. Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior

      Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior
      Automated segmentation of choroidal neovascularization (CNV) in optical coherence tomography (OCT) images plays an important role for the treatment of CNV disease. This paper proposes multi-scale convolutional neural networks with structure prior to segment CNV from OCT data. The proposed framework consists of two stages. In the first stage, the structure prior learning method based on sparse representation-based classification and the local potential function is developed to capture the global ...
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    5. Automated framework for intraretinal cystoid macular edema segmentation in three-dimensional optical coherence tomography images with macular hole

      Automated framework for intraretinal cystoid macular edema segmentation in three-dimensional optical coherence tomography images with macular hole
      Cystoid macular edema (CME) and macular hole (MH) are the leading causes for visual loss in retinal diseases. The volume of the CMEs can be an accurate predictor for visual prognosis. This paper presents an automatic method to segment the CMEs from the abnormal retina with coexistence of MH in three-dimensional-optical coherence tomography images. The proposed framework consists of preprocessing and CMEs segmentation. The preprocessing part includes denoising, intraretinal layers ...
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    6. Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization

      Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization
      In this paper, we propose a 3D registration method for retinal optical coherence tomography (OCT) volumes. The proposed method consists of five main steps: First, a projection image of the 3D OCT scan is created. Second, the vessel enhancement filter is applied on the projection image to detect vessel shadow. Third, landmark points are extracted based on both vessel positions and layer information. Fourth, the coherent point drift method is ...
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    7. Graph search: active appearance model based automated segmentation of retinal layers for optic nerve head centered OCT images

      Graph search: active appearance model based automated segmentation of retinal layers for optic nerve head centered OCT images
      In this paper, a novel approach combining the active appearance model (AAM) and graph search is proposed to segment retinal layers for optic nerve head(ONH) centered optical coherence tomography(OCT) images. The method includes two parts: preprocessing and layer segmentation. During the preprocessing phase, images is first filtered for denoising, then the B-scans are flattened. During layer segmentation, the AAM is first used to obtain the coarse segmentation results ...
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    8. Profile and Determinants of Retinal Optical Intensity in Normal Eyes with Spectral Domain Optical ...

      Profile and Determinants of Retinal Optical Intensity in Normal Eyes with Spectral Domain Optical ...
      Purpose To investigate the profile and determinants of retinal optical intensity in normal subjects using 3D spectral domain optical coherence tomography (SD OCT). Methods A total of 231 eyes from 231 healthy subjects ranging in age from 18 to 80 years were included and underwent a 3D OCT scan. Forty-four eyes were randomly chosen to be scanned by two operators for reproducibility analysis. Distribution of optical intensity of each layer ...
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    9. Quantitative analysis of retinal layers' optical intensities on 3D optical coherence tomography for central retinal artery occlusion

      Quantitative analysis of retinal layers' optical intensities on 3D optical coherence tomography for central retinal artery occlusion
      Optical coherence tomography (OCT) provides not only morphological information but also information about layer-specific optical intensities, which may represent the underlying tissue properties. The purpose of this study is to quantitatively investigate the optical intensity of each retinal layers in central retinal artery occlusion (CRAO). Twenty-nine CRAO cases at acute phase and 33 normal controls were included. Macula-centered 3D OCT images were segmented with a fully-automated Iowa Reference Algorithm into ...
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    10. Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images with Serous Pigment Epithelial Detachments

      Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images with Serous Pigment Epithelial Detachments
      ...20s for OCT data of 512×64×480 voxels. F. Shi is with the School of Electronics and Information Engineering, Soochow University, Suzhou, China.(email:shifei@suda.edu.cn) Chen, X. ; Zhao, H. ; Zhu, W. ; Xiang, . ; Gao,...
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  2. Organizations in the News

    1. (8 articles) The Chinese University of Hong Kong
    2. (4 articles) University of Iowa
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  3. People in the News

    1. (4 articles) Milan Sonka
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    1. (3 articles) Topcon Medical Systems