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. 2017 Jan 18;8(2):918-933.
doi: 10.1364/BOE.8.000918. eCollection 2017 Feb 1.

OCT-based full crystalline lens shape change during accommodation in vivo

Eduardo Martinez-Enriquez  1 , Pablo Pérez-Merino  1 , Miriam Velasco-Ocana  1 , Susana Marcos  1
Affiliations

OCT-based full crystalline lens shape change during accommodation in vivo

Eduardo Martinez-Enriquez et al. Biomed Opt Express. .

Abstract

The full shape of the accommodating crystalline lens was estimated using custom three-dimensional (3-D) spectral OCT and image processing algorithms. Automatic segmentation and distortion correction were used to construct 3-D models of the lens region visible through the pupil. The lens peripheral region was estimated with a trained and validated parametric model. Nineteen young eyes were measured at 0-6 D accommodative demands in 1.5 D steps. Lens volume, surface area, diameter, and equatorial plane position were automatically quantified. Lens diameter & surface area correlated negatively and equatorial plane position positively with accommodation response. Lens volume remained constant and surface area decreased with accommodation, indicating that the lens material is incompressible and the capsular bag elastic.

Keywords: (100.2960) Image analysis; (110.4500) Optical coherence tomography; (110.6880) Three-dimensional image acquisition; (330.7322) Visual optics, accommodation; (330.7327) Visual optics, ophthalmic instrumentation.

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Figures

Fig. 1
Fig. 1
Illustration of the process to quantify the 3-D anterior segment including the full shape of the lens of a specific subject from OCT images.
Fig. 2
Fig. 2
Raw OCT images for subject #2: (left) 0 D of accommodative demand (Horizontal B-scan); (middle) 6 D of accommodative demand (Horizontal B-scan); (right) 3-D OCT image (consisting of 50 B-scans) at 0 D of accommodative demand.
Fig. 3
Fig. 3
Change in the optical power of the eye with accommodative demand, relative to the value obtained for the un-accommodated condition (0D). Data are average across the nineteen subjects. Error bars represent standard deviation.
Fig. 4
Fig. 4
Mean values and standard deviation across repeated measurements for 0 D accommodative demand for each subject: (A) VOL; (B) EPP; (C) DIA; (D) LSA; (E) ACD; (F) LT; (G) RAL; (H) RPL (in absolute value); (I) QAL; (J) QPL.
Fig. 5
Fig. 5
Relative increment (respect to the average value of the variable at 0D) of: (A) RAL; (B) RPL; (C) ACD; (D) LT; (E) QAL; (F) QPL. Each color represents a different subject. The black solid line represents the best linear fitting.
Fig. 6
Fig. 6
Relative increment (respect to the average value of the variable at 0D) of: (A) EPP; (B) DIA; (C) LSA; (D) VOL. Each color represents a different subject. The black solid line represents the best linear fitting.
Fig. 7
Fig. 7
3-D changes on the estimated whole lens shape with accommodation for S#2. Accommodative demands of 0D (black) and 6D (green) are superimposed.
See this image and copyright information in PMC

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