Literature DB >> 8350148

Modeling the contrast-sensitivity functions of older adults.

A M Rohaly1, C Owsley.   

Abstract

To determine whether a parabolic template is a good description of the contrast-sensitivity functions (CSF's) exhibited by older adults, the curve-fitting method of Pelli et al. [J. Opt. Soc. Am. A 3(13), P56 (1986)] was applied to contrast-sensitivity data from 100 older subjects (ages 53-85 years). Although the method resulted in reasonable fits for most subjects, closer inspection revealed that this technique may be problematic. A significant number of observers had functions that were nonparabolic, and for many subjects the error tended to be concentrated at the peak of the CSF. In addition, in contrast to the study of Pelli et al., the peak contrast sensitivities of the subjects were only weakly related to Pelli-Robson contrast sensitivity and letter acuity. The data were also fitted with an asymmetric function of variable shape. Whereas this function provided a better fit to the nonparabolic CSF's, it resulted in inferior fits to most of the remaining data. These results demonstrate that the spatial CSF's of older adults cannot be described by a single parametric curve such as a parabola or a function of an exponential and that Pelli-Robson contrast sensitivity and letter acuity are not adequate predictors of their peak contrast sensitivities.

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Year:  1993        PMID: 8350148     DOI: 10.1364/josaa.10.001591

Source DB:  PubMed          Journal:  J Opt Soc Am A        ISSN: 0740-3232            Impact factor:   2.129


  17 in total

1.  Bayesian adaptive estimation of the contrast sensitivity function: the quick CSF method.

Authors:  Luis Andres Lesmes; Zhong-Lin Lu; Jongsoo Baek; Thomas D Albright
Journal:  J Vis       Date:  2010-03-30       Impact factor: 2.240

2.  Training in contrast detection improves motion perception of sinewave gratings in amblyopia.

Authors:  Fang Hou; Chang-Bing Huang; Liming Tao; Lixia Feng; Yifeng Zhou; Zhong-Lin Lu
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-08-17       Impact factor: 4.799

3.  Rapid and reliable assessment of the contrast sensitivity function on an iPad.

Authors:  Michael Dorr; Luis A Lesmes; Zhong-Lin Lu; Peter J Bex
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-11-05       Impact factor: 4.799

4.  qCSF in clinical application: efficient characterization and classification of contrast sensitivity functions in amblyopia.

Authors:  Fang Hou; Chang-Bing Huang; Luis Lesmes; Li-Xia Feng; Liming Tao; Yi-Feng Zhou; Zhong-Lin Lu
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-05-19       Impact factor: 4.799

5.  Simulating visibility under reduced acuity and contrast sensitivity.

Authors:  William B Thompson; Gordon E Legge; Daniel J Kersten; Robert A Shakespeare; Quan Lei
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2017-04-01       Impact factor: 2.129

6.  Spatial frequencies used in Landolt C orientation judgments: relation to inferred magnocellular and parvocellular pathways.

Authors:  J Jason McAnany; Kenneth R Alexander
Journal:  Vision Res       Date:  2008-04-18       Impact factor: 1.886

7.  Temporal Frequency Abnormalities in Early-Stage Diabetic Retinopathy Assessed by Electroretinography.

Authors:  J Jason McAnany; Jason C Park
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-10-01       Impact factor: 4.799

8.  Measuring contrast sensitivity.

Authors:  Denis G Pelli; Peter Bex
Journal:  Vision Res       Date:  2013-05-03       Impact factor: 1.886

9.  Predicting visibility of aircraft.

Authors:  Andrew Watson; Cesar V Ramirez; Ellen Salud
Journal:  PLoS One       Date:  2009-05-20       Impact factor: 3.240

10.  Comparing the Shape of Contrast Sensitivity Functions for Normal and Low Vision.

Authors:  Susana T L Chung; Gordon E Legge
Journal:  Invest Ophthalmol Vis Sci       Date:  2016-01-01       Impact factor: 4.799

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