computePlacidoIndices: Compute the Placido irregularity indices of an eye

Description Usage Arguments Value References Examples

View source: R/rPACI.R

Description

This function calculates the individual Placido indices of corneal irregularity PI_1, PI_2, PI_3, SL, AR_1, AR_2, AR_3, AR_4, AR_5, the global index GLPI, and the Naive Bayes Index (NBI) (see references). It requires a dataset in the format given by the function readCornealTopography. The results include the values of the indices plus a diagnose, which is either "Irregular cornea", "Suspect cornea" or "Normal cornea", depending on the value of the global index GLPI.

Usage

1
computePlacidoIndices(datasetRings)

Arguments

datasetRings

A dataset containing data of a corneal topography, as read by readCornealTopography.

Value

A dataset containg the aforementioned irregularity indices as well as the diagnose.

References

Castro-Luna, G. M., Martinez-Finkelshtein, A., Ramos-Lopez, D. (2019). Robust keratoconus detection with Bayesian network classifier for Placido-based corneal indices. Contact Lens and Anterior Eye, 43(4), 366-372.

Ramos-Lopez, D., Martinez-Finkelshtein, A., Castro-Luna, G. M., Burguera-Gimenez, N., Vega-Estrada, A., Pinero, D., & Alio, J. L. (2013). Screening subclinical keratoconus with placido-based corneal indices. Optometry and Vision Science, 90(4), 335-343.

Ramos-Lopez, D., Martinez-Finkelshtein, A., Castro-Luna, G. M., Pinero, D., & Alio', J. L. (2011). Placido-based indices of corneal irregularity. Optometry and Vision Science, 88(10), 1220-1231.

Examples

1
2
dataset = readCornealTopography(system.file("extdata","N02.txt", package="rPACI"))
results = computePlacidoIndices(dataset)

rPACI documentation built on July 8, 2020, 7:19 p.m.