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Fully automated corneal endothelial morphometry of images captured by clinical specular microscopy
KTH, School of Engineering Sciences (SCI), Applied Physics, Biomedical and X-ray Physics.
2010 (English)In: Ophthalmic Technologies XX, SPIE - International Society for Optical Engineering, 2010, 75501E- p.Conference paper, Published paper (Refereed)
Abstract [en]

The corneal endothelium serves as the posterior barrier of the cornea. Factors such as clarity and refractive properties of the cornea are in direct relationship to the quality of the endothelium. The endothelial cell density is considered the most important morphological factor of the corneal endothelium. Pathological conditions and physical trauma may threaten the endothelial cell density to such an extent that the optical property of the cornea and thus clear eyesight is threatened. Diagnosis of the corneal endothelium through morphometry is an important part of several clinical applications. Morphometry of the corneal endothelium is presently carried out by semi automated analysis of pictures captured by a Clinical Specular Microscope (CSM). Because of the occasional need of operator involvement, this process can be tedious, having a negative impact on sampling size. This study was dedicated to the development and use of fully automated analysis of a very large range of images of the corneal endothelium, captured by CSM, using Fourier analysis. Software was developed in the mathematical programming language Matlab. Pictures of the corneal endothelium, captured by CSM, were read into the analysis software. The software automatically performed digital enhancement of the images, normalizing lights and contrasts. The digitally enhanced images of the corneal endothelium were Fourier transformed, using the fast Fourier transform (FFT) and stored as new images. Tools were developed and applied for identification and analysis of relevant characteristics of the Fourier transformed images. The data obtained from each Fourier transformed image was used to calculate the mean cell density of its corresponding corneal endothelium. The calculation was based on well known diffraction theory. Results in form of estimated cell density of the corneal endothelium were obtained, using fully automated analysis software on 292 images captured by CSM. The cell density obtained by the fully automated analysis was compared to the cell density obtained from classical, semiautomated analysis and a relatively large correlation was found.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2010. 75501E- p.
Series
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, ISSN 1605-7422 ; 7550
Keyword [en]
Cornea, Endothelium, Fourier, Microscopy, Morphology, Morphometry
National Category
Ophthalmology Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-150326DOI: 10.1117/12.849255ISI: 000283928200033Scopus ID: 2-s2.0-79953033218ISBN: 978-081947946-4 (print)OAI: oai:DiVA.org:kth-150326DiVA: diva2:742561
Conference
Ophthalmic Technologies XX; San Francisco, CA; United States; 23 January 2010 through 25 January 2010
Note

QC 20140902

Available from: 2014-09-02 Created: 2014-09-01 Last updated: 2014-09-02Bibliographically approved

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CiteExportLink to record
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  • apa
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