Abstract
Purpose: :
To correlate retinal image quality metrics output from custom ZemaxTM eye models with visual acuity results recorded in a multifocal lens clinical study.
Methods: :
Clinical diagnostic measurements were used to create ZemaxTM models of individual patient's eyes. These clinical eye models were then used with a retinal image quality metric that could be correlated with the visual acuity results from a multifocal lens clinical study. Three different contrast and illumination conditions were used in the clinical study: (1) normalized high contrast high illumination (NHCHI), (2) normalized low contrast high illumination (NLCHI) and (3) normalized low contrast low illumination (NLCLI). All three conditions were correlated with the retinal image quality metric, weighted pattern recognition score, calculated from the ZemaxTM models.
Results: :
The percent correlation was calculated for each of the three clinical conditions with the weighted pattern recognition score. NHCHI yielded a correlation of 76.47%, NLCHI correlated with 82.35% and NHCLI correlated with 88.25%. Normalized 20/20 Geometrical convolved E's were also exported from ZemaxTM in order to give a subjective comparison of the patient's perceived visual acuity.
Conclusions: :
Custom eye models can be used to predict retinal image quality for a diverse population of eye's. By using this population of clinical eye models, it is now possible to model different lens design concepts to determine if the desired results are achievable before conducting a clinical trial.
Keywords: visual acuity • computational modeling