1. Articles from Johannes R. Vingerling

    1-4 of 4
    1. 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 consisted of 420 OCT volumes with successful automated retinal nerve fiber layer (RNFL) segmentations obtained from our previously reported graph-based segmentation method and 270 volumes with failed segmentations. To evaluate ...

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    2. Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

      Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT

      Purpose. To evaluate the validity of a novel fully automated three-dimensional (3D) method capable of segmenting the choroid from two different optical coherence tomography scanners: swept-source OCT (SS-OCT) and spectral-domain OCT (SD-OCT). Methods. One hundred eight subjects were imaged using SS-OCT and SD-OCT. A 3D method was used to segment the choroid and quantify the choroidal thickness along each A-scan. The segmented choroidal posterior boundary was evaluated by comparing to manual segmentation. Differences were assessed to test the agreement between segmentation results of the same subject. Choroidal thickness was defined as the Euclidian distance between Bruch's membrane and the ...

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    3. Optimizing the Information Yield of 3-D OCT in Glaucoma

      Optimizing the Information Yield of 3-D OCT in Glaucoma

      Purpose. To determine, first, which regions of 3-D optical coherence tomography (OCT) volumes can be segmented completely in the majority of subjects and, second, the relationship between analyzed area and thickness measurement test–retest variability. Methods. Three-dimensional OCT volumes (6 × 6 mm) centered around the fovea and optic nerve head (ONH) of 925 Rotterdam Study participants were analyzed; 44 participants were scanned twice. Volumes were segmented into 10 layers, and we determined the area where all layers could be identified in at least 95% (macula) or 90% (ONH) of subjects. Macular volumes were divided in 2 × 2, 4 × 4, 6 ...

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    4. Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images

      Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images

      The 3-D spectral-domain optical coherence tomography (SD-OCT) images of the retina often do not reflect the true shape of the retina and are distorted differently along the x and y axes. In this paper, we propose a novel technique that uses thin-plate splines in two stages to estimate and correct the distinct axial artifacts in SD-OCT images. The method was quantitatively validated using nine pairs of OCT scans obtained with orthogonal fast-scanning axes, where a segmented surface was compared after both datasets had been corrected. The mean unsigned difference computed between the locations of this artifact-corrected surface after the single-spline ...

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    1-4 of 4
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  2. Topics in the News

    1. (4 articles) University of Iowa
    2. (4 articles) Milan Sonka
    3. (4 articles) Kyungmoo Lee
    4. (4 articles) Michael D. Abràmoff
    5. (3 articles) Erasmus University
    6. (1 articles) University of Groningen
    7. (1 articles) Mona K. Garvin
    8. (1 articles) Young H. Kwon
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    11. (1 articles) Joost Daemen
    12. (1 articles) Notal Vision
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    Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images Optimizing the Information Yield of 3-D OCT in Glaucoma Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT Automated Segmentability Index for Layer Segmentation of Macular SD-OCT Image Fantom Encore Sirolimus-eluting Bioresorbable Scaffold for Treatment of De-novo CAD: the ENCORE-I Study Assessment of Microcirculatory Dysfunction in Septic Shock Patients by OCTA OCT system used at home demonstrates potential for daily monitoring of AMD Optical Coherence Tomography Biomarkers of the Outer Blood—Retina Barrier in Patients with Diabetic Macular Oedema Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Multi-channel swept source optical coherence tomography concept based on photonic integrated circuits Assessment of Retinal Vessel Density in Adult-Onset Foveomacular Vitelliform Dystrophy by Optical Coherence Tomography Angiography In Vivo Evaluation of Tissue Protrusion by Using Optical Coherence Tomography and Coronary Angioscopy Immediately After Stent Implantation