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Fully automated corneal endothelial morphometry of images captured by clinical specular microscopy

Bucht, C. (author)
Per Söderberg
Söderberg, Per G. (author)
Uppsala universitet,Oftalmiatrik,Per Söderberg
Manneberg, Göran (author)
KTH,Biomedicinsk fysik och röntgenfysik
 (creator_code:org_t)
San José, CA : SPIE - International Society for Optical Engineering, 2009
2009
English.
In: Ophthalmic Technologies XIX. - San José, CA : SPIE - International Society for Optical Engineering. - 9780819474094 ; , s. 716315-
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Oftalmologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Ophthalmology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Keyword

Cornea
Endothelium
Fourier
Microscopy
Morphology
Morphometry
Ophtalmiatrics
Ophtalmology

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Bucht, C.
Söderberg, Per G ...
Manneberg, Göran
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Clinical Medicin ...
and Ophthalmology
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Clinical Medicin ...
and Radiology Nuclea ...
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Ophthalmic Techn ...
By the university
Royal Institute of Technology
Uppsala University

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