Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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.
2009 (English)In: Ophthalmic Technologies XIX, SPIE - International Society for Optical Engineering, 2009, 716315- 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. Morphometry of the corneal endothelium is presently done 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 of fully automated analysis 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. The digitally enhanced images of the corneal endothelium were transformed, using the fast Fourier transform (FFT). 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 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, 2009. 716315- p.
Series
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, ISSN 1605-7422 ; 7163
Keyword [en]
Cornea, Endothelium, Fourier, Microscopy, Morphology, Morphometry
National Category
Ophthalmology Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-153606DOI: 10.1117/12.816850ISI: 000284821000025Scopus ID: 2-s2.0-65549124508ISBN: 978-0-8194-7409-4 (print)OAI: oai:DiVA.org:kth-153606DiVA: diva2:753037
Conference
Ophthalmic Technologies XIX, 24 January 2009 through 26 January 2009, San Jose, CA, United States
Note

QC 20141007

Available from: 2014-10-07 Created: 2014-10-06 Last updated: 2014-10-07Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Manneberg, Göran
By organisation
Biomedical and X-ray Physics
OphthalmologyRadiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf