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Towards Precise Segmentation of Corneal Endothelial Cells

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Bioinformatics and Biomedical Engineering (IWBBIO 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9043))

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Abstract

This article describes an algorithm for defining the precise, objective, repeatable and unambiguous segmentation of cells in images of the corneal endothelium. This issue is important for clinical purposes, because the quality of the grid cells is assessed on the basis of segmentation. Other solutions, including commercial software, do not always mark cell boundaries along lines of lowest brightness.

The proposed algorithm is comprised of two parts. The first part determines the number of neighbors of less than or equal brightness to each image point in the input image, then a custom-made segmentation of the binary image is performed on the basis of the constructed map. Each of the 9 iterations of the segmentation considers a number of neighboring points equal to the iteration index, thinning them if they have equal or lower value than the analyzed input point, which allows the boundaries to be routed between cells through the darkest points, thus defining an objective and unambiguous selection of cells.

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Author information

Authors and Affiliations

  1. Department of Geoinfomatics and Applied Computer Science, AGH University of Science and Technology, A. Mickiewicza 30 Av., 30–059, Cracow, Poland

    Adam Piórkowski

  2. Department of Ophthalmology, Pomeranian Medical University, Powstańców Wielkopolskich 72 Av., 70–111, Szczecin, Poland

    Jolanta Gronkowska–Serafin

  3. Oejenafdelingen, Regionshospitalet Holstebro, Laegaardvej 12a, 7500, Holstebro, Denmark

    Jolanta Gronkowska–Serafin

Authors
  1. Adam Piórkowski
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  2. Jolanta Gronkowska–Serafin
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Editor information

Editors and Affiliations

  1. Dpto. de Arquitectura y Tecnología de Computadores (ATC)., E.T.S. de Ingenierías en Informática y Telecomunicación. CITIC-UGR, Universidad de Granada, c/ Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Francisco Ortuño

  2. E.T.S. Ingenierías Informática y de Telecomunicación , , Dpto. Arquitectura y Tecnología de Computadores, CITIC-UGR, Universidad de Granada, C Periodista Rafael Gómez Montero, 18071, Granada, Spain

    Ignacio Rojas

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Piórkowski, A., Gronkowska–Serafin, J. (2015). Towards Precise Segmentation of Corneal Endothelial Cells. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9043. Springer, Cham. https://doi.org/10.1007/978-3-319-16483-0_25

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  • DOI: https://doi.org/10.1007/978-3-319-16483-0_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16482-3

  • Online ISBN: 978-3-319-16483-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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