0
Research Papers: Imaging

Semiautomated analysis of optical coherence tomography crystalline lens images under simulated accommodation

[+] Author Affiliations
Eon Kim

Vision Cooperative Research Centre, Sydney 2052 Australia

University of New South Wales, School of Optometry and Vision Science, Sydney 2052 Australia

Klaus Ehrmann

Vision Cooperative Research Centre, Sydney 2052 Australia

University of New South Wales, School of Optometry and Vision Science, Sydney 2052 Australia

Brien Holden Vision Institute, Sydney 2052 Australia

Stephen Uhlhorn, David Borja

University of Miami, Miller School of Medicine, Bascom Palmer Eye Institute, Ophthalmic Biophysics Centre, Miami, Florida 33136

University of Miami, College of Engineering, Department of Biomedical Engineering, Biomedical Optics and Laser Laboratory, Coral Gables, Florida 33146

Esdras Arrieta-Quintero

University of Miami, Miller School of Medicine, Bascom Palmer Eye Institute, Ophthalmic Biophysics Centre, Miami, Florida 33136

Jean-Marie Parel

Vision Cooperative Research Centre, Sydney 2052 Australia

University of Miami, Miller School of Medicine, Bascom Palmer Eye Institute, Ophthalmic Biophysics Centre, Miami, Florida 33136

University of Miami, College of Engineering, Department of Biomedical Engineering, Biomedical Optics and Laser Laboratory, Coral Gables, Florida 33146

University of Paris Hotel-Dieu Hospital, Paris, EA 3502, France

University of Liege, Centre Hospitalier Universitaire Sart-Tilman, Liege, B30-4000, Belgium

J. Biomed. Opt. 16(5), 056003 (May 12, 2011). doi:10.1117/1.3574613
History: Received May 09, 2010; Revised December 29, 2010; Accepted March 14, 2011; Published May 12, 2011; Online May 12, 2011
Text Size: A A A

Presbyopia is an age related, gradual loss of accommodation, mainly due to changes in the crystalline lens. As part of research efforts to understand and cure this condition, ex vivo, cross-sectional optical coherence tomography images of crystalline lenses were obtained by using the Ex-Vivo Accommodation Simulator (EVAS II) instrument and analyzed to extract their physical and optical properties. Various filters and edge detection methods were applied to isolate the edge contour. An ellipse is fitted to the lens outline to obtain central reference point for transforming the pixel data into the analysis coordinate system. This allows for the fitting of a high order equation to obtain a mathematical description of the edge contour, which obeys constraints of continuity as well as zero to infinite surface slopes from apex to equator. Geometrical parameters of the lens were determined for the lens images captured at different accommodative states. Various curve fitting functions were developed to mathematically describe the anterior and posterior surfaces of the lens. Their differences were evaluated and their suitability for extracting optical performance of the lens was assessed. The robustness of these algorithms was tested by analyzing the same images repeated times.

Figures in this Article
© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Topics

Lenses

Citation

Eon Kim ; Klaus Ehrmann ; Stephen Uhlhorn ; David Borja ; Esdras Arrieta-Quintero, et al.
"Semiautomated analysis of optical coherence tomography crystalline lens images under simulated accommodation", J. Biomed. Opt. 16(5), 056003 (May 12, 2011). ; http://dx.doi.org/10.1117/1.3574613


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
 
Your Session has timed out. Please sign back in to continue.
Sign In to Access Full Content

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Refractive lens exchange. Surv Ophthalmol Published online May 9, 2014.;
Advertisement


Buy this article ($18 for members, $25 for non-members).
Sign In