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1. Mentioned In 26 Articles
2. Imaging cellular structures of atherosclerotic coronary arteries using circumferentially scanning micro-optical coherence tomography fiber probe ex vivo
  
  Explore IEEE Xplore Nov 6 2018 Cardiology
  
  Development and progression of coronary atherosclerotic lesions is mediated by a number of cellular components, which are not readily visualized using the current clinical investigation tools. Visualizing these cellular components in situ and in vivo may allow early detection of the vulnerable plaques, with implications for coronary artery disease (CAD) therapy and for the prevention of acute myocardial infarction (AMI). In this study, we have developed a fiber-optic micro-optical coherence ...
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  Mentions: Nanyang Technological University Linbo Liu Soochow University
3. Speckle noise reduction in optical coherence tomography images based on edge-sensitive cGAN
  
  Explore OSA | OSA Publishing Oct 6 2018
  
  Speckle noise in optical coherence tomography (OCT) impairs both the visual quality and the performance of automatic analysis. Edge preservation is an important issue for speckle reduction. In this paper, we propose an end-to-end framework for simultaneous speckle reduction and contrast enhancement for retinal OCT images based on the conditional generative adversarial network (cGAN). The edge loss function is added to the final objective so that the model is sensitive ...
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  Mentions: Soochow University
4. Relationship between filtering bleb vascularization and surgical outcomes after trabeculectomy: an optical coherence tomography angiography study
  
  Explore Home - Springer Sep 19 2018 Ophthalmology
  
  Purpose To explore the relationship between the bleb vasculature and surgical outcome after trabeculectomy (TRAB) using optical coherence tomography angiography (OCT-A). Methods A prospective study was conducted, which included 26 eyes of 26 primary glaucoma patients in the final analysis. Thereinto, six patients underwent TRAB combined 5-FU and 12 patients received subconjunctival 5-FU injection postoperation. The bleb vessel was evaluated using OCT-A 1 week, 2 weeks, 1 month, 3 months ...
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  Mentions: Soochow University
5. Surrogate-assisted Retinal OCT Image Classification Based on Convolutional Neural Networks
  
  Explore IEEE Xplore Jul 12 2018 Ophthalmology
  
  Optical Coherence Tomography (OCT) is becoming one of the most important modalities for the noninvasive assessment of retinal eye diseases. As the number of acquired OCT volumes increases, automating the OCT image analysis is becoming increasingly relevant. In this paper, we propose a surrogate-assisted classification method to classify retinal OCT images automatically based on convolutional neural networks (CNNs). Image denoising is first performed to reduce the noise. Thresholding and morphological ...
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  Mentions: Soochow University
6. Extending axial focus of optical coherence tomography using parallel multiple aperture synthesis
  
  Explore OSA | OSA Publishing Apr 26 2018
  
  Compromising the inherent trade-off between transverse resolution and depth of focus (DOF) remains a long-standing issue in optical coherence tomography (OCT). In this work, we report a novel techniqueparallel multiple aperture synthesis (pMAS) to simultaneously generate multiple optical apertures in an OCT sample arm by employing a two-surface coated mirror. In the proposed pMAS, the DOF is extended by a factor of 16.49 without sacrificing the transverse resolution for ...
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  Mentions: Nanyang Technological University Linbo Liu Soochow University
7. Shared-hole graph search with adaptive constraints for 3D optic nerve head optical coherence tomography image segmentation
  
  Explore OSA | OSA Publishing Feb 6 2018 Ophthalmology
  
  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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  Mentions: The Chinese University of Hong Kong Soochow University Haoyu Chen
8. Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior
  
  Explore Home - Springer Feb 1 2018 Ophthalmology
  
  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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  Mentions: Xiaoming Xiang Soochow University Haoyu Chen
9. Optical coherence tomography angiography of optic disc perfusion in non-arteritic anterior ischemic optic neuropathy
  
  Explore 欢迎访问国际眼科杂志编辑部 Sep 28 2017 Ophthalmology
  
  AIM : To compare the optic disc blood flow of non-arteritic ischemic optic neuropathy (NAION) eyes with normal eyes. METHODS : The optic disc blood flow densities of diagnosed non-acute phase NAION eyes (21 eyes, 14 individuals) and normal eyes (19 eyes, 12 individuals) were detected via Optovue optical coherence tomography angiography (OCTA). The optic disc blood flow was measured via Image J software. Correlations between optic disc perfusion and visual function ...
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  Mentions: Optovue Soochow University
10. Automated framework for intraretinal cystoid macular edema segmentation in three-dimensional optical coherence tomography images with macular hole
  
  Explore SPIE | Journal Jul 22 2017 Ophthalmology
  
  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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  Mentions: The Chinese University of Hong Kong Soochow University Haoyu Chen
11. Retinal SD-OCT image-based pituitary tumor screening
  
  Explore Conference Proceedings Mar 7 2017 Ophthalmology
  
  In most cases, the pituitary tumor compresses optic chiasma and causes optic nerves atrophy, which will reflect in retina. In this paper, an Adaboost classification based method is first proposed to screen pituitary tumor from retinal spectral- domain optical coherence tomography (SD-OCT) image. The method includes four parts: pre-processing, feature extraction and selection, training and testing. First, in the pre-processing step, the retinal OCT image is segmented into 10 layers ...
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  Mentions: Soochow University
12. Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization
  
  Explore Conference Proceedings Mar 3 2017 Ophthalmology
  
  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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  Mentions: Soochow University Haoyu Chen
13. Graph search: active appearance model based automated segmentation of retinal layers for optic nerve head centered OCT images
  
  Explore Conference Proceedings Mar 1 2017 Ophthalmology
  
  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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  Mentions: Soochow University Haoyu Chen
14. Depth-encoded dual beam phase-resolved Doppler OCT for Doppler-angle-independent flow velocity measurement
  
  Explore Conference Proceedings Mar 1 2017
  
  Phase-resolved Doppler optical coherence tomography (PR-D-OCT) is a functional OCT imaging technique that can provide high-speed and high-resolution depth-resolved measurement on flow in biological materials. However, a common problem with conventional PR-D-OCT is that this technique often measures the flow motion projected onto the OCT beam path. In other words, it needs the projection angle to extract the absolute velocity from PR-D-OCT measurement. In this paper, we proposed a novel ...
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  Mentions: Soochow University Jianhua Mo
15. Dual-beam angular compounding for speckle reduction in optical coherence tomography
  
  Explore Conference Proceedings Feb 23 2017
  
  Optical coherence tomography (OCT), as a low-coherence interferometric imaging technique, inevitably suffers from speckle noise, which can reduce image quality and signal-to-noise (SNR). In this paper, we present a dual-beam angular compounding method to reduce speckle noise and improve SNR of OCT image. Two separated parallel light beams are created on the sample arm using a 1x2 optical fiber coupler and are focused into samples at different angles. The epi-detection ...
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  Mentions: Soochow University Jianhua Mo
16. A standard model eye with micro scale multilayer structure for ophthalmic optical coherence tomography equipment
  
  Explore Conference Proceedings Nov 1 2016 Ophthalmology
  
  Optical coherence tomography (OCT) has been widely applied in diagnosis of eye diseases during the last 20 years. Differing from traditional two-dimension imaging technologies, OCT could also provide cross-sectional information of target tissues simultaneously and precisely. As well known, axial resolution is one of the most critical parameters impacting the OCT image quality, which determines whether an accurate diagnosis could be obtained. Therefore, it is important to evaluate the axial ...
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  Mentions: Harbin Medical University Soochow University
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