Accounting for the phase, spatial frequency and orientation demands of the task improves metrics based on the visual Strehl ratio

- Our aim was to test how well Visual-Strehl-based metrics capture visual performance.
- Metrics were judged against empirical data on letter-identification and on reading.
- Visual-Strehl metrics are improved with a task-specific spatial-frequency weighting.
- Incorporation of phase and orientation effects gives additional improvements.
- Improved Visual-Strehl metrics compare favourably to cross-correlation metrics.

Advances in ophthalmic instrumentation have allowed high order aberrations to be measured in vivo. These measurements describe the distortions to a plane wavefront entering the eye, but not the effect they have on visual performance. One metric for predicting visual performance from a wavefront measurement uses the visual Strehl ratio, calculated in the optical transfer function (OTF) domain (VSOTF) (Thibos et al., 2004). We considered how well such a metric captures empirical measurements of the effects of defocus, coma and secondary astigmatism on letter identification and on reading. We show that predictions using the visual Strehl ratio can be significantly improved by weighting the OTF by the spatial frequency band that mediates letter identification and further improved by considering the orientation of phase and contrast changes imposed by the aberration. We additionally showed that these altered metrics compare well to a cross-correlation-based metric. We suggest a version of the visual Strehl ratio, VScombined, that incorporates primarily those phase disruptions and contrast changes that have been shown independently to affect object recognition processes. This metric compared well to VSOTF for letter identification and was the best predictor of reading performance, having a higher correlation with the data than either the VSOTF or cross-correlation-based metric.