1. Articles from Bo Li

    1-3 of 3
    1. Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images

      Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images

      Macular Edema (ME) is the accumulation of fluid in the macular region of the eye, and it may lead to the distortion of center vision. It often occurs in diabetic retinopathy. It is important to measure fluid accumulation in ME patients for disease monitor. Segmentation of the fluid region in the retinal layer is an essential step for quantitatively analysis. However, manual segmentation is time consuming and also subjective. In this paper, a new deep learning based segmentation method is proposed. The attention mechanism is introduced to automatically locate the fluid region, which can reduce the number of parameters compared ...

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    2. Metalens-Based Miniaturized Optical Systems

      Metalens-Based Miniaturized Optical Systems

      etasurfaces have been studied and widely applied to optical systems. A metasurface-based flat lens (metalens) holds promise in wave-front engineering for multiple applications. The metalens has become a breakthrough technology for miniaturized optical system development, due to its outstanding characteristics, such as ultrathinness and cost-effectiveness. Compared to conventional macro- or meso-scale optics manufacturing methods, the micro-machining process for metalenses is relatively straightforward and more suitable for mass production. Due to their remarkable abilities and superior optical performance, metalenses in refractive or diffractive mode could potentially replace traditional optics. In this review, we give a brief overview of the most recent ...

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    3. Correction of motion artifact in 3D retinal optical coherence tomography imaging

      Correction of motion artifact in 3D retinal optical coherence tomography imaging

      In the system of spectral domain optical coherence tomography(SD-OCT), the location accuracy of scanning mechanism, mechanical dither and unconscious movement of human eyes can lead to the dither of cross-sectional scanning signal (B-scans) and affect the imaging quality of eyes. In this paper, we firstly make space transformation and filtering towards to the original retina images. Secondly, we find out the characteristic curve, which is called inner segment/outer segment (IS/OS) layer, and its location based on mathematical morphology opening and closing operation segmentation image and canny algorithm. Then we use the method of smoothing spline curve fitting ...

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    1-3 of 3
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    Correction of motion artifact in 3D retinal optical coherence tomography imaging Metalens-Based Miniaturized Optical Systems Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images MultiColor imaging to detect different subtypes of retinal microaneurysms in diabetic retinopathy Post Doc Position for Optical Coherence Tomography at the Medical University Vienna Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features Comparison of OCT angiography in children with a history of intravitreal injection of ranibizumab versus laser photocoagulation for retinopathy of prematurity Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Retinal Nerve Fiber Layer Volume MULTIMODAL IMAGING IN HELLP-RELATED CHORIORETINOPATHY Uniform focusing with an extended depth range and increased working distance for optical coherence tomography by an ultrathin monolith fiber probe RTVue XR AngioVue Optical Coherence Tomography Angiography Software Upgrade Impacts on Retinal Thickness and Vessel Density Measurements