April 2009
Volume 50, Issue 13
ARVO Annual Meeting Abstract  |   April 2009
Correlating Multifocal Contact Lens Clinical Outcomes With Retinal Image Quality Metrics Output From Custom Zemax Eye Models
Author Affiliations & Notes
  • A. C. Kingston
    Optical Design & Metrology,
    Bausch & Lomb, Rochester, New York
  • I. Cox
    Scientific Clinical & Medical Affairs,
    Bausch & Lomb, Rochester, New York
  • T. Green
    Lens Design,
    Bausch & Lomb, Rochester, New York
  • Footnotes
    Commercial Relationships  A.C. Kingston, Bausch & Lomb, E; I. Cox, Bausch & Lomb, E; T. Green, Bausch & Lomb, E.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 1125. doi:
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    • Get Citation

      A. C. Kingston, I. Cox, T. Green; Correlating Multifocal Contact Lens Clinical Outcomes With Retinal Image Quality Metrics Output From Custom Zemax Eye Models. Invest. Ophthalmol. Vis. Sci. 2009;50(13):1125.

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      © ARVO (1962-2015); The Authors (2016-present)

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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 

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