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1 January 2011 New testing software for quantifying discrimination capacity in subjects with ocular pathologies
Jose J. Castro, José R. Jiménez-Cuesta, Carolina Ortiz, Aixa Alarcon, Rosario González Anera
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Journal of Biomedical Optics, Vol. 16, Issue 1, 015001 (January 2011). https://doi.org/10.1117/1.3526702
Abstract
We develop a new visual test, designed as software for quantifying discrimination capacity under low-illumination conditions. This is an important task in the presence of visual disturbances, such as those perceived by subjects with some ocular pathologies. For this purpose, we propose a visual-disturbance index, checking the test with two groups of observers having different ocular pathologies: a group with unilateral keratitis and another group affected with age-related macular degeneration (ARMD). To compare the test results to objective data, we use a double-pass device to measure the Strehl ratio, a parameter that quantifies the retinal-image quality, taking into account aberrations, retinal reflection, and intraocular scattering working jointly. Diseased eyes present higher disturbance indexes and a lower Strehl ratio compared to their healthy fellow eyes, registering a significant descending correlation between the disturbance index and the Strehl ratio. The lower the Strehl ratio is, the higher the disturbance index for the eyes studied. Therefore, in keratitis and ARMD eyes, our results demonstrate a deterioration in the retinal-image quality and a lower discrimination capacity to peripheral stimuli, reducing visual performance.The test presented here could be useful for the study and time course in different eye diseases, especially those involving an increase in scattered light or alterations in the ocular media, as shown in this work.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Jose J. Castro, José R. Jiménez-Cuesta, Carolina Ortiz, Aixa Alarcon, and Rosario González Anera "New testing software for quantifying discrimination capacity in subjects with ocular pathologies," Journal of Biomedical Optics 16(1), 015001 (1 January 2011). https://doi.org/10.1117/1.3526702
Published: 1 January 2011
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Cited by 43 scholarly publications and 1 patent.
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KEYWORDS
Visualization
Pathology
Eye
Scattering
Visual optics
Light scattering
Image quality
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