1. Articles from Qinghuai Liu

    1-5 of 5
    1. OCT angiography-based monitoring of neovascular regression on fibrovascular membrane after preoperative intravitreal conbercept injection

      OCT angiography-based monitoring of neovascular regression on fibrovascular membrane after preoperative intravitreal conbercept injection

      Purpose To quantify the preoperative neovascular change pattern on the fibrovascular membrane (FVM) within 7 days after intravitreal injection of conbercept (IVC) using optical coherence tomography angiography (OCTA) in proliferative diabetic retinopathy (PDR). Methods Prospective, observational study of PDR patients with visible FVM receiving or not receiving IVC. Neovascular changes were assessed by OCTA pre-IVC and 1, 3, 5, and 7 days post-IVC. Vessel skeleton density (SD) and vessel density (VD) were quantified by an intensity-based optical microangiography algorithm. The interclass correlation coefficient (ICC) was calculated to assess the agreement between measurements. The SD and VD were compared between follow-ups ...

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    2. 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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    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 retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint

      Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint

      Automatic segmentation of retinal layers in spectral domain optical coherence tomography (SD-OCT) images plays a vital role in the quantitative assessment of retinal disease, because it provides detailed information which is hard to process manually. A number of algorithms to automatically segment retinal layers have been developed; however, accurate edge detection is challenging. We developed an automatic algorithm for segmenting retinal layers based on dual-gradient and spatial correlation smoothness constraint. The proposed algorithm utilizes a customized edge flow to produce the edge map and a convolution operator to obtain local gradient map in the axial direction. A valid search region ...

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    5. A novel method of multi-parameter measurements for the mouse retina in vivo using optical coherence tomography

      A novel method of multi-parameter measurements for the mouse retina in vivo using optical coherence tomography

      Optical coherence tomography (OCT) is widely used in clinical diagnosis and is becoming more important for the evaluation of the mouse retinal structure in vivo. This study describes a novel method of multi-parameter measurements for the mouse retina using clinical OCT. Two lenses were adapted to the OCT optical system, and high-resolution, wide-angle retinal tomographic images were easily acquired with our method. The magnifications of this OCT optical system for mouse retinal images were quantified. The magnification in the transverse direction is 4.46, whereas the axial direction is barely magnified. With this method, the data of mouse retinal thickness ...

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    1-5 of 5
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    A novel method of multi-parameter measurements for the mouse retina in vivo using optical coherence tomography Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint Choroidal vasculature characteristics based choroid segmentation for enhanced depth imaging optical coherence tomography image Automated segmentation of hyperreflective foci in spectral domain optical coherence tomography with diabetic retinopathy OCT angiography-based monitoring of neovascular regression on fibrovascular membrane after preoperative intravitreal conbercept injection Comparative study between intravitreal ranibizumab and triamcinolone treatment of diabetic macular edema as regard to optical coherence tomography changes and visual acuity What’s New in Optical Coherence Tomography Angiography for Glaucoma (Book Chapter) Looking into the Future: Optical Coherence Tomography for the Assessment of Cardiac Allograft Vasculopathy Effects of Age on Peripapillary and Macular Vessel Density Determined Using Optical Coherence Tomography Angiography in Healthy Eyes Deep Neural Network Regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images In-Stent Restenosis Lesion Morphology Related to Repeat Stenting Underexpansion as Evaluated by Optical Coherence Tomography Measurement of granule layer thickness in a spouted bed coating process via optical coherence tomography