1. University of Iowa

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    1. Mentioned In 122 Articles

    2. Multi-layer 3D Simultaneous Retinal OCT Layer Segmentation: Just-Enough Interaction for Routine Clinical Use

      Multi-layer 3D Simultaneous Retinal OCT Layer Segmentation: Just-Enough Interaction for Routine Clinical Use
      All current fully automated retinal layer segmentation methods fail in some subset of clinical 3D Optical Coherence Tomography (OCT) datasets, especially in the presence of appearance-modifying retinal diseases like Age-related Macular Degeneration (AMD), Diabetic Macular Edema (DME), and others. In the presence of local or regional failures, the only current remedy is to edit the obtained segmentation in a slice-by-slice manner. This is a very tedious and time-demanding process, which ...
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    3. Iowa City VA Receives NIH Grant for Automated Assessment of Optical Nerve Edema with Low-Cost Imaging

      Iowa City VA  Receives NIH Grant for Automated Assessment of Optical Nerve Edema with Low-Cost Imaging
      Iowa City VA Medical Center Receives a 2017 NIH Grant for Automated Assessment of Optical Nerve Edema with Low-Cost Imaging. The principal investigator is Mona Garvin. The program began in 2016 and ends in 2020. Below is a summary of the proposed work. Papilledema - a specific type of optic nerve edema associated with elevated intracranial pressure - occurs in veterans due to intracranial masses or hemorrhage, obstructive hydrocephalus, following traumatic brain ...
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    4. Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma

      Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma
      Purpose : A pilot study showed that prediction of individual Humphrey 24-2 visual field (HVF 24-2) sensitivity thresholds from optical coherence tomography (OCT) image analysis is possible. We evaluate performance of an improved approach as well as 3 other predictive algorithms on a new, fully independent set of glaucoma subjects. Methods : Subjects underwent HVF 24-2 and 9-field OCT (Heidelberg Spectralis) testing. Nerve fiber (NFL), and ganglion cell and inner plexiform (GCL ...
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    5. A Machine-Learning Graph-Based Approach for 3D Segmentation of Bruch’s Membrane Opening from Glaucomatous SD-OCT Volumes

      A Machine-Learning Graph-Based Approach for 3D Segmentation of Bruch’s Membrane Opening from Glaucomatous SD-OCT Volumes
      Bruchs membrane opening-minimum rim width (BMO-MRW) is a recently proposed structural parameter which estimates the remaining nerve fiber bundles in the retina and is superior to other conventional structural parameters for diagnosing glaucoma. Measuring this structural parameter requires identification of BMO locations within spectral domain-optical coherence tomography (SD-OCT) volumes. While most automated approaches for segmentation of the BMO either segment the 2D projection of BMO points or identify BMO points ...
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    6. Optical Coherence Angiographic Demonstration of Retinal Changes From Chronic Optic Neuropathies

      Optical Coherence Angiographic Demonstration of Retinal Changes From Chronic Optic Neuropathies
      Glaucoma causes a decrease in peripapillary perfused capillary density on optical coherence tomography (OCT) angiography. However, other chronic optic neuropathies have not been explored with OCT angiography to see if these changes were specific to glaucoma. The authors evaluated OCT angiography in 10 patients who suffered various kinds of chronic optic neuropathies, including optic neuritis and ischaemic optic neuropathy, and found that all optic neuropathies showed a decrease in peripapillary ...
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    7. Automated assessment of glaucoma loss from optical coherence tomography

      Automated assessment of glaucoma loss from optical coherence tomography
      Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.
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    8. Reproducibility of Retinal Thickness Measurements across Spectral-Domain Optical Coherence Tomography Devices using Iowa Reference Algorithm

      Reproducibility of Retinal Thickness Measurements across Spectral-Domain Optical Coherence Tomography Devices using Iowa Reference Algorithm
      PURPOSE: Establishing and obtaining consistent quantitative indices of retinal thickness from a variety of clinically used Spectral-Domain Optical Coherence Tomography scanners. DESIGN: Retinal images from five Spectral-Domain Optical Coherence Tomography scanners were used to determine total retinal thickness with scanner-specific correction factors establishing consistency of thickness measurement across devices. PARTICIPANTS: 55 Fovea-centered Spectral-Domain Optical Coherence Tomography volumes from eleven subjects were analyzed, obtained from Cirrus HD-OCT, RS-3000, Heidelberg Spectralis, RTVue ...
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    9. Avoiding Clinical Misinterpretation and Artifacts of Optical Coherence Tomography Analysis of the Optic Nerve, Retinal Nerve Fiber Layer, and Ganglion Cell Layer

      Avoiding Clinical Misinterpretation and Artifacts of Optical Coherence Tomography Analysis of the Optic Nerve, Retinal Nerve Fiber Layer, and Ganglion Cell Layer
      Background: Optical coherence tomography (OCT) has become an important tool for diagnosing optic nerve disease. The structural details and reproducibility of OCT continues to improve with further advances in technology. However, artifacts and misinterpretation of OCT can lead to clinical misdiagnosis of diseases if they go unrecognized. Evidence Acquisition: A literature review using PubMed combined with clinical and research experience. Results: We describe the most common artifacts and errors in ...
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    10. Quantitative Analysis of Retinal OCT

      Quantitative Analysis of Retinal OCT
      Clinical acceptance of 3-D OCT retinal imaging brought rapid development of quantitative 3-D analysis of retinal layers, vascu-lature, retinal lesions as well as facilitated new research in retinal diseases. One of the cornerstones of many such analyses is segmentation and thickness quantification of retinal layers and the choroid, with an inherently 3-D simultaneous multi-layer LO-GISMOS (Layered Optimal Graph Image Segmentation for Multiple Objects and Surfaces) segmentation approach being extremely well ...
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    11. The Pattern of Visual Fixation Eccentricity and Instability in Optic Neuropathy and Its Spatial Relationship to Retinal Ganglion Cell Layer Thickness

      The Pattern of Visual Fixation Eccentricity and Instability in Optic Neuropathy and Its Spatial Relationship to Retinal Ganglion Cell Layer Thickness
      Purpose : The purpose of this study was to assess whether clinically useful measures of fixation instability and eccentricity can be derived from retinal tracking data obtained during optical coherence tomography (OCT) in patients with optic neuropathy (ON) and to develop a method for relating fixation to the retinal ganglion cell complex (GCC) thickness. Methods : Twenty-nine patients with ON underwent macular volume OCT with 30 seconds of confocal scanning laser ophthalmoscope ...
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    12. Iowa City Veterans Administration Medical Center Received a 2016 NIH Grant for Automated Assessment of Optical Edema with Low-Cost Imaging

      Iowa City Veterans Administration Medical Center Received a 2016 NIH Grant for Automated Assessment of Optical Edema with Low-Cost Imaging
      Iowa City Veterans Administration Medical Center Received a 2016 NIH Grant for Automated Assessment of Optical Edema with Low-Cost Imaging. The principal investigator is Mona Garvin. The program began in 2017 and ends in 2020. Below is a summary of the proposed work. Papilledema - a specific type of optic nerve edema associated with elevated intracranial pressure - occurs in veterans due to intracranial masses or hemorrhage, obstructive hydrocephalus, following traumatic brain ...
      Read Full Article
    13. Automated Segmentability Index for Layer Segmentation of Macular SD-OCT Image

      Automated Segmentability Index for Layer Segmentation of Macular SD-OCT Image
      Purpose : To automatically identify which spectral-domain optical coherence tomography (SD-OCT) scans will provide reliable automated layer segmentations for more accurate layer thickness analyses in population studies. Methods : Six hundred ninety macular SD-OCT image volumes (6.0 6.0 2.3 mm 3 ) were obtained from one eyes of 690 subjects (74.6 9.7 [mean SD] years, 37.8% of males) randomly selected from the population-based Rotterdam Study. The dataset ...
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  2. About University of Iowa

    University of Iowa

    University of Iowa, also commonly called Iowa or UI, is a major research university located on a 1700 acres campus in Iowa City, Iowa, US, on the banks of the Iowa River. The university is organized into eleven colleges granting undergraduate, graduate, and professional degrees. The University is a member of the Big Ten Conference, the Committee on Institutional Cooperation, and is considered a "Public Ivy."