Implementation of a Quality Index for Improvement of Quantification of Corneal Nerves in Corneal Confocal Microscopy Images: A Multicenter Study
Purpose:Corneal confocal microscopy (CCM) is an imaging method to detect loss of nerve fibers in the cornea. The impact of image quality on the CCM parameters has not been investigated. We developed a quality index (QI) with 3 stages for CCM images and compared the influence of the image quality on
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| Auteurs principaux: | , , , |
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| Format: | Article (Journal) |
| Langue: | anglais |
| Publié: |
April 11, 2019
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| In: |
Cornea
Year: 2019, Volume: 38, Numéro: 7, Pages: 921-926 |
| ISSN: | 1536-4798 |
| DOI: | 10.1097/ICO.0000000000001949 |
| Accès en ligne: | Verlag, Volltext: https://doi.org/10.1097/ICO.0000000000001949
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| Notes sur l'auteur: | Dietrich Sturm, Jan Vollert, Tineke Greiner, Andrew S. Rice, Harriet Kemp, Rolf-Detlef Treede, Sigrid Schuh-Hofer, Stine Nielsen, Lynn Eitner, Martin Tegenthoff, Ioannis Petropoulos, Rayaz Malik, Christoph Maier, Tobias Schmidt-Wilcke, Marc Schargus |
| Résumé: | Purpose:Corneal confocal microscopy (CCM) is an imaging method to detect loss of nerve fibers in the cornea. The impact of image quality on the CCM parameters has not been investigated. We developed a quality index (QI) with 3 stages for CCM images and compared the influence of the image quality on |
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| Description: | Gesehen am 20.01.2020 |
| Description matérielle: | Online Resource |
| ISSN: | 1536-4798 |
| DOI: | 10.1097/ICO.0000000000001949 |