1. Articles from Lala Ceklic

    1-5 of 5
    1. Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software

      Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software

      Purpose : We investigate which spectral domain-optical coherence tomography (SD-OCT) setting is superior when measuring subfoveal choroidal thickness (CT) and compared results to an automated segmentation software. Methods : Thirty patients underwent enhanced depth imaging (EDI)-OCT. B-scans were extracted in six different settings (W+N = white background/normal contrast 9; W+H = white background/maximum contrast 16; B+N = black background/normal contrast 12; B+H = black background/maximum contrast 16; C+N = Color-encoded image on black background at predefined contrast of 9, and C+H = Color-encoded image on black background at high/maximal contrast of 16), resulting in 180 images ...

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    2. Feature Of The Week 11/8/12: University Of Bern Presents Methods for Multi-Surface Segmentation of OCT Images

      Feature Of The Week 11/8/12: University Of Bern Presents Methods for Multi-Surface Segmentation of OCT Images

      Over the past several years and for the foreseeable future, development and implementation of algorithms for processing of OCT images has become a fertile area for researchers at universities and product development engineers at OCT system companies. Such algorithms can dramatically improve OCT images and extract new information, both of which can improve clinical decision making and add tremendous value and differentiation to a product line. Topical areas include removing motion artifacts from 3D data sets, fast processing and rendering of very large data sets, extracting functional information, registration of data sets from longitudinal studies, and more. Recently the University ...

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    3. Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints

      Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints

      Optical Coherence Tomography is a well established image modality in ophthalmology and used daily in the clinic. Automatic evaluation of such datasets requires an accurate segmentation of the retinal cell layers. However, due to the naturally low signal to noise ratio and the resulting bad image quality, this task remains challenging. We propose an automatic graphbased multi-surface segmentation algorithm that internally uses soft constraints to add prior information from a learned model. This improves the accuracy of the segmentation and increase the robustness to noise. Furthermore, we show that the graph size can be greatly reduced by applying a smart ...

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    4. Pathology Hinting as the Combination of Automatic Segmentation with a Statistical Shape Model

      Pathology Hinting as the Combination of Automatic Segmentation with a Statistical Shape Model

      With improvements in acquisition speed and quality, the amount of medical image data to be screened by clinicians is starting to become challenging in the daily clinical practice. To quickly visualize and find abnormalities in medical images, we propose a new method combining segmentation algorithms with statistical shape models. A statistical shape model built from a healthy population will have a close fit in healthy regions. The model will however not fit to morphological abnormalities often present in the areas of pathologies. Using the residual fitting error of the statistical shape model, pathologies can be visualized very quickly. This idea ...

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    5. Macular Thickness Measurements in Healthy Eyes Using Six Different Optical Coherence Tomography Instruments

      Purpose To compare central retinal thickness (CRT) measurements in healthy eyes by different commercially available OCT instruments and to compare the intersession reproducibility of such measurements. Methods: Six different OCT instruments (StratusTMOCT, SOCTCopernicus, SpectralOCT/SLO, RTVue-100, SpectralisTMHRA+OCT,and CirrusTMHD-OCT) were used to assess the central retinal thickness in both eyes of healthy subjects. Measurements were performed in two different sessions on the same day with each of the systems. From these measurements mean values for CRT were calculated. For the assessment of the intersession reproducibility of the instruments we calculated the coefficient of the variation of test-re-test variation. Results ...

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    1-5 of 5
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    1. (5 articles) University of Bern
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    Pathology Hinting as the Combination of Automatic Segmentation with a Statistical Shape Model Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints Feature Of The Week 11/8/12: University Of Bern Presents Methods for Multi-Surface Segmentation of OCT Images Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software Customized Slab-Segmentation Method for Projection-Artifact Elimination in Best Vitelliform Macular Dystrophy: A Swept-Source Optical Coherence Tomography Angiography Study Corneal Epithelial Thickness Profile in Healthy Portuguese Children by High-Definition Optical Coherence Tomography Prediction model for best focus, power, and spherical aberration of the cornea: Raytracing on a large dataset of OCT data Classification of pachychoroid on optical coherence tomography using deep learning Noninvasive Evaluation of HepaRG Aggregates during Drug‐Induced Intrahepatic Cholestasis Using Optical Coherence Tomography Online measurement of floc size, viscosity, and consistency of cellulose microfibril suspensions with optical coherence tomography A Joint Model for Macular Edema Analysis in Optical Coherence Tomography Images Based on Image Enhancement and Segmentation Choroidal Thickness by Handheld Swept-Source Optical Coherence Tomography in Term Newborns