A Novel Algorithm for Extraction of the Layers of the Cornea

Eichel, Justin A.; Mishra, Akshaya; Fieguth, Paul; Clausi, David A.; Bizheva, Kostadinka

doi:10.1109/crv.2009.22

Cited by 17 publications

(12 citation statements)

References 18 publications

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“…In this paper we use an FD-OCT to study the anterior segment of the eye since this acquisition system can produce cross-sectional images of the cornea, which can be properly processed to analyze corneal sublayers: Epithelium, Bowman's layer, Stroma, Descemet's membrane, and Endothelium [4–7]. The precise measurement of these sublayers thickness is very important in ophthalmics and optometrics, for therapeutic treatments, refractive surgery, and contact lens applications.…”

Section: Introductionmentioning

confidence: 99%

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Corneal Sublayers Thickness Estimation Obtained by High-Resolution FD-OCT

Alberto

Garello

2013

International Journal of Biomedical Imaging

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This paper presents a novel processing technique which can be applied to corneal in vivo images obtained with optical coherence tomograms across the central meridian of the cornea. The method allows to estimate the thickness of the corneal sublayers (Epithelium, Bowman's layer, Stroma, Endothelium, and whole corneal thickness) at any location, including the center and the midperiphery, on both nasal and temporal sides. The analysis is carried out on both the pixel and subpixel scales to reduce the uncertainty in thickness estimations. This technique allows quick and noninvasive assessment of patients. As an example of application and validation, we present the results obtained from the analysis of 52 healthy subjects, each with 3 scans per eye, for a total of more than 300 images. Particular attention has been paid to the statistical interpretation of the obtained results to find a representative assessment of each sublayer's thickness.

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Section: Introductionmentioning

confidence: 99%

“…Unfortunately, traditional image processing techniques, such as Sobel or Canny algorithms [11], failed in boundary localization of OCT cross-sections because, in general, these images present low Signal-to-Noise Ratio (SNR) and low contrast between boundary and internal corneal regions [5–7]. …”

Section: Introductionmentioning

confidence: 99%

Corneal Sublayers Thickness Estimation Obtained by High-Resolution FD-OCT

Alberto

Garello

2013

International Journal of Biomedical Imaging

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“…Eichel et al [7] proposed a semi-automatic model based segmentation method. First, the algorithm identifies the layers of the cornea using an enhanced intelligent “scissor,” and a correspondence model is established between the upper and lower layer of the cornea.…”

Section: Introductionmentioning

confidence: 99%

Fast and accurate metrology of multi-layered ceramic materials by an automated boundary detection algorithm developed for optical coherence tomography data

Ekberg

Chang

et al. 2014

J. Opt. Soc. Am. A

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Optical coherence tomography (OCT) is useful for materials defect analysis and inspection with the additional possibility of quantitative dimensional metrology. Here, we present an automated image-processing algorithm for OCT analysis of roll-to-roll multilayers in 3D manufacturing of advanced ceramics. It has the advantage of avoiding filtering and preset modeling, and will, thus, introduce a simplification. The algorithm is validated for its capability of measuring the thickness of ceramic layers, extracting the boundaries of embedded features with irregular shapes, and detecting the geometric deformations. The accuracy of the algorithm is very high, and the reliability is better than 1 µm when evaluating with the OCT images using the same gauge block step height reference. The method may be suitable for industrial applications to the rapid inspection of manufactured samples with high accuracy and robustness.

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“…The work shown in [9] established an approach to precisely obtain the boundaries of five primary corneal layers. The proposed method facilitates robust boundary extraction in the presence of noise and artifacts.…”

Section: A Current Technical Cornea Related Research Workmentioning

confidence: 99%

“…The semi-automatic model-based segmentation method proposed in [9] was designed to minimise user input to precisely locate the layers of the cornea. First, the algorithm using an enhanced intelligent scissor (EIS), which is a userinteractive semi-supervised segmentation method, to identify the epithelium (upper) and the endothelium (lower) layer of the cornea.…”

Section: A Current Technical Cornea Related Research Workmentioning

confidence: 99%

An efficient system for preprocessing confocal corneal images for subsequent analysis

Sharif

Qahwaji

Hayajneh

et al. 2014

2014 14th UK Workshop on Computational Intelligence (UKCI)

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Abstract-A confocal microscope provides a sequence of images of the various corneal layers and structures at different depths from which medical clinicians can extract clinical information on the state of health of the patient's cornea. Preprocessing the confocal corneal images to make them suitable for analysis is very challenging due the nature of these images and the amount of the noise present in them. This paper presents an efficient preprocessing approach for confocal corneal images consisting of three main steps including enhancement, binarisation and refinement. Improved visualisation, cell counts and measurements of cell properties have been achieved through this system and an interactive graphical user interface has been developed.

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A Novel Algorithm for Extraction of the Layers of the Cornea

Cited by 17 publications

References 18 publications

Corneal Sublayers Thickness Estimation Obtained by High-Resolution FD-OCT

Corneal Sublayers Thickness Estimation Obtained by High-Resolution FD-OCT

Fast and accurate metrology of multi-layered ceramic materials by an automated boundary detection algorithm developed for optical coherence tomography data

An efficient system for preprocessing confocal corneal images for subsequent analysis

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