1. Articles from Yaroslava Wenner

    1-4 of 4

    1. Optical Coherence Tomography (OCT) Device Independent Intraretinal Layer Segmentation

      Explore tvstjournal.org Ophthalmology
      Optical Coherence Tomography (OCT) Device Independent Intraretinal Layer Segmentation

      Purpose: To develop and test an algorithm to segment intraretinal layers irrespectively of the actual Optical Coherence Tomography (OCT) device used. Methods: The developed algorithm is based on the graph theory optimization. The algorithm's performance was evaluated against that of three expert graders for unsigned boundary position difference and thickness measurement of a retinal layer group in 50 and 41 B-scans, respectively. Reproducibility of the algorithm was tested in 30 C-scans of 10 healthy subjects each with the Spectralis and the Stratus OCT. Comparability between different devices was evaluated in 84 C-scans (volume or radial scans) obtained from 21 ...

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    2. Automated segmentation of pathological cavities in optical coherence tomography scans

      Explore iovs.org Ophthalmology
      Automated segmentation of pathological cavities in optical coherence tomography scans

      PURPOSE: To develop and evaluate a method for automated segmentation and quantitative analysis of pathological cavities in the retina visualized by Spectral-Domain (SD)-OCT scans. METHODS: The algorithm is based on the segmentation of the grey-level intensities within a B-Scan by a k-means cluster analysis and subsequent classification by a k-nearest neighbor algorithm. Accuracy was evaluated against three clinical experts using 130 bullous cavities identified on 8 SD-OCT B-scans of 3 patients with wet age-related macular degeneration (AMD) and 5 patients with X-linked retinoschisis, as well as on one volume scan of a patient with X-linked retinoschisis. The algorithm calculated ...

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    3. Automated segmentation of retinal blood vessels in spectral domain optical coherence tomography scans

      Explore opticsinfobase.org Ophthalmology
      Automated segmentation of retinal blood vessels in spectral domain optical coherence tomography scans

      The correct segmentation of blood vessels in optical coherence tomography (OCT) images may be an important requirement for the analysis of intra-retinal layer thickness in human retinal diseases. We developed a shape model based procedure for the automatic segmentation of retinal blood vessels in spectral domain (SD)-OCT scans acquired with the Spectralis OCT system. The segmentation procedure is based on a statistical shape model that has been created through manual segmentation of vessels in a training phase. The actual segmentation procedure is performed after the approximate vessel position has been defined by a shadowgraph that assigns the lateral vessel ...

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      Mentions: Heidelberg Engineering

    4. Interchangeability of macular thickness measurements between different volumetric protocols of Spectralis optical coherence tomography in normal eyes

      Explore SpringerLink Home Ophthalmology
      Interchangeability of macular thickness measurements between different volumetric protocols of Spectralis optical coherence tomography in normal eyes
      Abstract Backgrounds  To evaluate in healthy eyes the interchangeability of retinal thickness measurements resulting from different protocols of Spectralis optical coherence tomography (OCT, Heidelberg Engineering, Germany). Methods  Three different central volumetric protocols were performed in one session by one single operator in a randomly selected eye of 31 healthy adults (range, 19–30 years): (1) area 6 × 6 mm, 25 scan pattern (SP), (2) area 6 × 6 mm, 49 SP, (3) area 6 × 3 mm, 97 SP. Nine ETDRS areas were analyzed, except outer areas for 97 SP. Interclass correlation coefficients (ICC) and limits of agreement (Bland–Altman) were calculated ...
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      Mentions: Heidelberg Engineering
    1-4 of 4
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