Literature DB >> 23492926

The visualFields package: a tool for analysis and visualization of visual fields.

Iván Marín-Franch1, William H Swanson.   

Abstract

This paper introduces the R package visualFields, a contributed, open-source software for the analysis of the visual field. The package aims to provide a framework for collaborative research, including data sharing and conventional and novel methods. Single visual field and progression analyses, such as Permutation of Pointwise Linear Regression can be performed with visualFields using simple scripts. The package can be easily customized and it allows the inclusion of custom test locations and different normative values. Here, we demonstrate how to use the visualFields package and discuss its capabilities. The analyses presented here are easy to replicate upon installation of the package, which is freely available for download from the Comprehensive R Archive Network. The relevant R code is shown and commented on. A shift from proprietary to an open-source research platform is an important step towards more direct collaborative research. The visualFields package is part of the Open Perimetry Initiative, which is expected to grow as researchers contribute new routines and datasets.

Mesh:

Year:  2013        PMID: 23492926      PMCID: PMC3600987          DOI: 10.1167/13.4.10

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  22 in total

1.  The Open Perimetry Interface: an enabling tool for clinical visual psychophysics.

Authors:  Andrew Turpin; Paul H Artes; Allison M McKendrick
Journal:  J Vis       Date:  2012-01-01       Impact factor: 2.240

2.  The concept of visual field indices.

Authors:  J Flammer
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1986       Impact factor: 3.117

3.  Normal variability of static perimetric threshold values across the central visual field.

Authors:  A Heijl; G Lindgren; J Olsson
Journal:  Arch Ophthalmol       Date:  1987-11

4.  Diffuse loss of sensitivity in early glaucoma.

Authors:  D B Henson; P H Artes; B C Chauhan
Journal:  Invest Ophthalmol Vis Sci       Date:  1999-12       Impact factor: 4.799

Review 5.  Visual field defects and neural losses from experimental glaucoma.

Authors:  Ronald S Harwerth; M L J Crawford; Laura J Frishman; Suresh Viswanathan; Earl L Smith; Louvenia Carter-Dawson
Journal:  Prog Retin Eye Res       Date:  2002-01       Impact factor: 21.198

6.  Structure and function in patients with glaucomatous defects near fixation.

Authors:  Asifa Shafi; William H Swanson; Mitchell W Dul
Journal:  Optom Vis Sci       Date:  2011-01       Impact factor: 1.973

7.  Measuring visual function in age-related macular degeneration with frequency-doubling (matrix) perimetry.

Authors:  Andrew John Anderson; Chris A Johnson; John S Werner
Journal:  Optom Vis Sci       Date:  2011-07       Impact factor: 1.973

8.  Blur-resistant perimetric stimuli.

Authors:  Douglas G Horner; Mitchell W Dul; William H Swanson; Tiffany Liu; Irene Tran
Journal:  Optom Vis Sci       Date:  2013-05       Impact factor: 1.973

9.  A test of a linear model of glaucomatous structure-function loss reveals sources of variability in retinal nerve fiber and visual field measurements.

Authors:  Donald C Hood; Susan C Anderson; Michael Wall; Ali S Raza; Randy H Kardon
Journal:  Invest Ophthalmol Vis Sci       Date:  2009-05-14       Impact factor: 4.799

10.  Visual field progression in glaucoma: estimating the overall significance of deterioration with permutation analyses of pointwise linear regression (PoPLR).

Authors:  Neil O'Leary; Balwantray C Chauhan; Paul H Artes
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-10-01       Impact factor: 4.799

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  20 in total

1.  A novel strategy for the estimation of the general height of the visual field in patients with glaucoma.

Authors:  Iván Marín-Franch; William H Swanson; Victor E Malinovsky
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-03-18       Impact factor: 3.117

2.  Agreement and Predictors of Discordance of 6 Visual Field Progression Algorithms.

Authors:  Osamah J Saeedi; Tobias Elze; Loris D'Acunto; Ramya Swamy; Vikram Hegde; Surabhi Gupta; Amin Venjara; Joby Tsai; Jonathan S Myers; Sarah R Wellik; Carlos Gustavo De Moraes; Louis R Pasquale; Lucy Q Shen; Michael V Boland
Journal:  Ophthalmology       Date:  2019-02-04       Impact factor: 12.079

3.  Prediction Accuracy of the Dynamic Structure-Function Model for Glaucoma Progression Using Contrast Sensitivity Perimetry and Confocal Scanning Laser Ophthalmoscopy.

Authors:  Koosha Ramezani; Iván Marín-Franch; Rongrong Hu; William H Swanson; Lyne Racette
Journal:  J Glaucoma       Date:  2018-09       Impact factor: 2.503

4.  Prediction accuracy of a novel dynamic structure-function model for glaucoma progression.

Authors:  Rongrong Hu; Iván Marín-Franch; Lyne Racette
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-10-30       Impact factor: 4.799

5.  Letter to the Editor: Expected Improvement in Structure-Function Agreement With Macular Displacement Models.

Authors:  Giovanni Montesano; David F Garway-Heath; David P Crabb
Journal:  Transl Vis Sci Technol       Date:  2022-10-03       Impact factor: 3.048

6.  Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging.

Authors:  Yuka Kihara; Giovanni Montesano; Andrew Chen; Nishani Amerasinghe; Chrysostomos Dimitriou; Aby Jacob; Almira Chabi; David P Crabb; Aaron Y Lee
Journal:  Ophthalmology       Date:  2022-02-21       Impact factor: 14.277

7.  Individual differences in the shape of the nasal visual field.

Authors:  William H Swanson; Mitchell W Dul; Douglas G Horner; Victor E Malinovsky
Journal:  Vision Res       Date:  2016-06-16       Impact factor: 1.886

8.  Comparison of Methods to Detect and Measure Glaucomatous Visual Field Progression.

Authors:  Alessandro Rabiolo; Esteban Morales; Lilian Mohamed; Vicente Capistrano; Ji Hyun Kim; Abdelmonem Afifi; Fei Yu; Anne L Coleman; Kouros Nouri-Mahdavi; Joseph Caprioli
Journal:  Transl Vis Sci Technol       Date:  2019-09-11       Impact factor: 3.283

9.  Summation of Temporal L-Cone- and M-Cone-Contrast in the Magno- and Parvocellular Retino-Geniculate Systems in Glaucoma.

Authors:  Cord Huchzermeyer; Folkert Horn; Robert Lämmer; Christian Mardin; Jan Kremers
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-05-03       Impact factor: 4.799

10.  Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.

Authors:  Avyuk Dixit; Jithin Yohannan; Michael V Boland
Journal:  Ophthalmology       Date:  2020-12-25       Impact factor: 14.277

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