1. Nanjing University of Science and Technology

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    1. Mentioned In 68 Articles

    2. Fourier spatial transform-based method of suppressing motion noises in OCTA

      Explore Optica Publishing Group
      Fourier spatial transform-based method of suppressing motion noises in OCTA
      A large amount of lateral noise will be generated in blood flow imaging with optical coherence tomography angiography (OCTA) due to the presence of muscle shaking, heartbeat, and respiration, resulting in the deterioration of images. In this paper, to the best of our knowledge, for the first time, the spatial frequency information of motion noise in the blood flow signal region is used to remove the motion noise and false ...
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      Mentions: Nanjing University of Science and Technology

    3. Analysis of retinal microvasculature features in amblyopic eyes: A meta-analysis

      Explore Karger Publishers Ophthalmology
      Analysis of retinal microvasculature features in amblyopic eyes: A meta-analysis
      Purpose: This meta-analysis aimed to evaluate retinal vessel density (VD) in amblyopic patients using optical coherence tomography angiography (OCTA). Methods: PubMed, Web of Science, Embase, and Cochrane Library databases were systematically searched for published articles comparing retinal microvasculature characteristics in patients with amblyopia and controls. Continuous variable outcomes were assessed using the mean difference (MD) with a 95% confidence interval. Review Manager Version 5.30 was used for the analysis ...
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      Mentions: Nanjing University of Science and Technology

    4. Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation

      Explore IEEE Xplore Ophthalmology
      Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation
      Automated layer segmentation plays an important role for retinal disease diagnosis in optical coherence tomography (OCT) images. However, the severe retinal diseases result in the performance degeneration of automated layer segmentation approaches. In this paper, we present a robust semi-supervised retinal layer segmentation network to relieve the model failures on abnormal retinas, in which we obtain the lesion features from the labeled images with disease-balanced distribution, and utilize the unlabeled ...
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      Mentions: Nanjing University of Science and Technology

    5. Ultrathin lensed fiber based anastigmatic needle probe for endoscopic swept source optical coherence tomography

      Explore ScienceDirect Probes
      Ultrathin lensed fiber based anastigmatic needle probe for endoscopic swept source optical coherence tomography
      We present an anastigmatic all-fiber needle probe utilizing a fiber ball lens for endoscopic swept source optical coherence tomography (OCT). In order to avoid the astigmatism caused by the cylindrical profile of the imaging fiber or the outer protective tube, the lensed fiber probe is directly packaged into a 26-gauge hypodermic needle with a side opening optical window. A total internal reflection surface is fabricated on the tip of the ...
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      Mentions: Nanjing University of Science and Technology

    6. Identification of Symptomatic Carotid Artery Plaque: A Three-Item Scale Combined Angiography With Optical Coherence Tomography

      Explore Frontiers Cardiology
      Identification of Symptomatic Carotid Artery Plaque: A Three-Item Scale Combined Angiography With Optical Coherence Tomography
      Introduction: Symptomatic carotid disease conveys a high risk of recurrent stroke. Plaque morphology and specific plaque characteristics are associated with the risk of stroke. This study aimed to evaluate the detailed plaque features by optical coherence tomography (OCT) and develop a simple scale combining clinical indicators, digital subtraction angiography (DSA), and OCT imaging markers to identify symptomatic carotid plaque. Methods: Carotid plaques from consecutive patients who underwent carotid OCT imaging ...
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      Mentions: Nanjing University of Science and Technology

    7. Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence

      Explore Frontiers Ophthalmology
      Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence
      To predict visual acuity (VA) and post-therapeutic optical coherence tomography (OCT) images 1, 3, and 6 months after laser treatment in patients with central serous chorioretinopathy (CSC) by artificial intelligence (AI). Real-world clinical and imaging data were collected at Zhongshan Ophthalmic Center (ZOC) and Xiamen Eye Center (XEC). The data obtained from ZOC (416 eyes of 401 patients) were used as the training set; the data obtained from XEC (64 ...
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      Mentions: Sun Yat-Sen University University of Miami Nanjing University of Science and Technology

    8. Total venous nature of retinal deep capillary plexus inferred by continuity of prominent middle limiting membrane sign in optical coherence tomography

      Explore Journals | PLOS Ophthalmology
      Total venous nature of retinal deep capillary plexus inferred by continuity of prominent middle limiting membrane sign in optical coherence tomography
      This study aimed to theoretically identify the vascular nature of the deep capillary plexus (DCP) by examining patients presenting with both paracentral acute middle maculopathy (PAMM) and prominent middle limiting membrane (p-MLM) sign and p-MLM sign alone in spectral-domain optical coherence tomography (SD-OCT). A retrospective review of the medical records of patients with retinal vein or artery occlusion from two tertiary medical centers was performed. Consecutive patients with a clinical ...
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      Mentions: Visionix Heidelberg Engineering Carl Zeiss Meditec

    9. Effects of orientation deviation of a beam splitter and a reference mirror on the stability of a two-interferometer-based handheld FFOCT imaging probe

      Explore OSA | OSA Publishing
      Effects of orientation deviation of a beam splitter and a reference mirror on the stability of a two-interferometer-based handheld FFOCT imaging probe
      In this work, we present a handheld full-field optical coherence tomography (FFOCT) system based on a series connection of two interferometers: the Michelson interferometer is used as a compensation part and the Fizeau interferometer is used as a detection part. Owing to the common-path arrangement of the Fizeau interferometer, this handheld FFOCT system has a compact detection arm and is insensitive to the external disturbance. A high-output halogen lamp and ...
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      Mentions: Nanjing University of Science and Technology

    10. RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network

      Explore Home - Springer Ophthalmology
      RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network
      Age-related macular degeneration (AMD) is one of the leading causes of irreversible blindness and is characterized by fluid-related accumulations such as intra-retinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED). Spectral-domain optical coherence tomography (SD-OCT) is the primary modality used to diagnose AMD, yet it does not have algorithms that directly detect and quantify the fluid. This work presents an improved convolutional neural network (CNN)-based architecture called ...
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      Mentions: Nanjing University of Science and Technology

    11. Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography

      Explore OSA | OSA Publishing
      Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography
      We report an automated differentiation model for classifying malignant tumor, fibro-adipose, and stroma in human breast tissues based on polarization-sensitive optical coherence tomography (PS-OCT). A total of 720 PS-OCT images from 72 sites of 41 patients with HE histology-confirmed diagnoses as the gold standard were employed in this study. The differentiation model is trained by the features extracted from both one standard OCT-based metric (i.e., intensity) and four PS-OCT-based ...
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      Mentions: University of Illinois at Urbana-Champaign Nanjing University of Science and Technology

    12. Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach

      Explore IEEE Xplore
      Noise Reduction for SD-OCT Using a Structure-Preserving Domain Transfer Approach
      Spectral-domain optical coherence tomography (SD-OCT) images inevitably suffer from multiplicative speckle noise caused by random interference. This study proposes an unsupervised domain adaptation approach for noise reduction by translating the SD-OCT to the corresponding high-quality enhanced depth imaging (EDI)-OCT. We propose a structure-persevered cycle-consistent generative adversarial network for unpaired image-to-image translation, which can be applied to imbalanced unpaired data, and can effectively preserve retinal details based on a structure-specific ...
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      Mentions: Nanjing University of Science and Technology

    14. CT texture analysis of vulnerable plaques on optical coherence tomography

      Explore Home Page Cardiology
      CT texture analysis of vulnerable plaques on optical coherence tomography
      Purpose: To explore whether CT texture analysis can identify thin-cap fibroatheroma (TCFA) determined by optical coherence tomography (OCT). Methods: Thirty-three patients with 43 lesions who underwent both CCTA and OCT within 3 months were retrospectively included. 12 conventional CT-derived plaque features, fat attenuation index (FAI) and 1691 plaque radiomics features were extracted to discriminate TCFA lesions and non-TCFA lesions determined by OCT. Minimum redundancy and maximum relevance (mRMR) method was ...
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      Mentions: Nanjing University of Science and Technology

    15. An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring

      Explore BMC Medical Imaging Ophthalmology
      An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring
      Background: Quantification of neovascularization changes in terms of neovascular complex (NVC) acquired from the optical coherence tomography angiography (OCTA) imaging is extremely important for diagnosis and treatment monitoring of proliferative diabetic retinopathy (PDR). However, only few vessel extraction methods have so far been reported to quantify neovascular changes in NVC with proliferative diabetic retinopathy PDR based on OCTA images. Methods: Here we propose an optimized approach to segment blood vessels ...
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      Mentions: Nanjing University of Science and Technology

    16. Image Projection Network: 3D to 2D Image Segmentation in OCTA Images

      Explore IEEE Xplore Ophthalmology
      Image Projection Network: 3D to 2D Image Segmentation in OCTA Images
      We present an image projection network (IPN), which is a novel end-to-end architecture and can achieve 3D-to-2D image segmentation in optical coherence tomography angiography (OCTA) images. Our key insight is to build a projection learning module (PLM) which uses a unidirectional pooling layer to conduct effective features selection and dimension reduction concurrently. By combining multiple PLMs, the proposed network can input 3D OCTA data, and output 2D segmentation results such ...
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      Mentions: Nanjing University of Science and Technology
    17. 1-15 of 68 1 2 3 4 5 »
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  4. About Nanjing University of Science and Technology

    Nanjing University of Science and Technology

    Nanjing University of Science and Technology (NUST) is one of the national key universities under the guidance of the Ministry of Industry and Information Technology. The university has more than sixty years' experience in providing inspiring and broadened-horizon education. It has become a multi-disciplinary university comprising academic fields including: science, engineering, liberal arts, economics, business, management, law and education. In addition, NUST encompasses a wide array of centers, institutes, programs, and administrative support offices.

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