1. Mahnaz Shahidi

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    1. Mentioned In 10 Articles

    2. An automated image processing method for classification of diabetic retinopathy stages from conjunctival microvasculature images

      An automated image processing method for classification of diabetic retinopathy stages from conjunctival microvasculature images
      The conjunctiva is a densely vascularized tissue of the eye that provides an opportunity for imaging of human microcirculation. In the current study, automated fine structure analysis of conjunctival microvasculature images was performed to discriminate stages of diabetic retinopathy (DR). The study population consisted of one group of nondiabetic control subjects (NC) and 3 groups of diabetic subjects, with no clinical DR (NDR), non-proliferative DR (NPDR), or proliferative DR (PDR ...
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      Mentions: Mahnaz Shahidi
    3. Alterations in Retinal Layer Thickness and Reflectance at Different Stages of Diabetic Retinopathy by En Face Optical Coherence Tomography

      Alterations in Retinal Layer Thickness and Reflectance at Different Stages of Diabetic Retinopathy by En Face Optical Coherence Tomography
      Purpose : This article reports a method for en face optical coherence tomography (OCT) imaging and quantitative assessment of alterations in both thickness and reflectance of individual retinal layers at different stages of diabetic retinopathy (DR). Methods : High-density OCT raster volume scans were acquired in 29 diabetic subjects divided into no DR (NDR) or non-proliferative DR (NPDR) groups and 22 control subjects (CNTL). A customized image segmentation method identified eight retinal ...
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      Mentions: Mahnaz Shahidi
    4. A Method for En Face OCT Imaging of Subretinal Fluid in Age-Related Macular Degeneration

      A Method for En Face OCT Imaging of Subretinal Fluid in Age-Related Macular Degeneration
      Purpose . The purpose of the study is to report a method for en face imaging of subretinal fluid (SRF) due to age-related macular degeneration (AMD) based on spectral domain optical coherence tomography (SDOCT). Methods . High density SDOCT imaging was performed at two visits in 4 subjects with neovascular AMD and one healthy subject. En face OCT images of a retinal layer anterior to the retinal pigment epithelium were generated. Validity ...
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      Mentions: Mahnaz Shahidi
    5. Wavefront Error Correction with Adaptive Optics in Diabetic Retinopathy

      Wavefront Error Correction with Adaptive Optics in Diabetic Retinopathy
      Purpose: To determine the effects of diabetic retinopathy (DR), increased foveal thickness (FT), and adaptive optics (AO) on wavefront aberrations and Shack-Hartmann (SH) image quality. Methods: Shack-Hartmann aberrometry and wavefront error correction were performed with a bench-top AO retinal imaging system in 10 healthy control and 19 DR subjects. Spectral domain optical coherence tomography was performed and central FT was measured. Based on the FT data in the control group ...
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  2. About Mahnaz Shahidi

    Mahnaz Shahidi

    Mahnaz Shahidi is with the Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago.