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1 May 2011 Semiautomated analysis of optical coherence tomography crystalline lens images under simulated accommodation
Eon Kim, Klaus Ehrmann, Jean-Marie Parel, Stephen Uhlhorn, David Borja, Esdras Arrieta-Quintero
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Funded by: NIH, Health Services and Delivery Research (HSDR)
Journal of Biomedical Optics, Vol. 16, Issue 5, 056003 (May 2011). https://doi.org/10.1117/1.3574613
Abstract
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.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Eon Kim, Klaus Ehrmann, Jean-Marie Parel, Stephen Uhlhorn, David Borja, and Esdras Arrieta-Quintero "Semiautomated analysis of optical coherence tomography crystalline lens images under simulated accommodation," Journal of Biomedical Optics 16(5), 056003 (1 May 2011). https://doi.org/10.1117/1.3574613
Published: 1 May 2011
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Cited by 14 scholarly publications.
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KEYWORDS
Crystals
Optical coherence tomography
Edge detection
Crystal optics
Biological research
Analytical research
Eye
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