Vision function testing for a suprachoroidal retinal prosthesis: effects of image filtering
Open accessAbstract
Objective. One strategy to improve the effectiveness of prosthetic vision devices is to process incoming images to ensure that key information can be perceived by the user. This paper presents the first comprehensive results of vision function testing for a suprachoroidal retinal prosthetic device utilizing of 20 stimulating electrodes. Further, we investigate whether using image filtering can improve results on a light localization task for implanted participants compared to minimal vision processing. No controlled implanted participant studies have yet investigated whether vision processing methods that are not task-specific can lead to improved results. Approach. Three participants with profound vision loss from retinitis pigmentosa were implanted with a suprachoroidal retinal prosthesis. All three completed multiple trials of a light localization test, and one participant completed multiple trials of acuity tests. The visual representations used were: Lanczos2 (a high quality Nyquist bandlimited downsampling filter); minimal vision processing (MVP); wide view regional averaging filtering (WV); scrambled; and, system off. Main results. Using Lanczos2, all three participants successfully completed a light localization task and obtained a significantly higher percentage of correct responses than using MVP ( p ≤ 0.025 ) or with system off ( p < 0.0001 ). Further, in a preliminary result using Lanczos2, one participant successfully completed grating acuity and Landolt C tasks, and showed significantly better performance ( p = 0.004 ) compared to WV, scrambled and system off on the grating acuity task. Significance. Participants successfully completed vision tasks using a 20 electrode suprachoroidal retinal prosthesis. Vision processing with a Nyquist bandlimited image filter has shown an advantage for a light localization task. This result suggests that this and targeted, more advanced vision processing schemes may become important components of retinal prostheses to enhance performance. ClinicalTrials.gov Identifier: NCT01603576.
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Only one out of the 15 feature engineering studies has been implemented in human real prosthetic vision settings with a suprachoroidal device.
“Only one out of the 15 feature engineering studies has been implemented in human real prosthetic vision settings77 with a suprachoroidal device.”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [77]
The use of Lanczos filtering improved mean light localization success rate from 57% to 77% in 3 subjects compared with minimal visual processing.
“In this study, authors showed that the use of Lanczos filtering improved mean light localization success rate from 57% to 77% in 3 subjects compared with minimal visual processing.”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [77]
Traditional computer vision approaches such as edge detection, contrast enhancement, and difference of Gaussians have been tested in retinal prostheses and proved limited usefulness in daily life.
“However, traditional computer vision approaches, such as edge detection, contrast enhancement, and difference of Gaussians, have been tested in retinal prostheses and proved limited usefulness in daily life [181][182][183].”
From Advances in visual prostheses: engineering and biological challenges (2022) · cites this paper as [183]
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References 66 · Cited by 46
Research works printed but not linked: 4
- Williams D R and Hofer H 2004 The Visual Neurosciences: Volume 1 (Cambridge Massachusetts: MIT Press) chap Formation and Acquisition of the Retinal Image, pp 795-810
- Humayun M, Dorn J D, Ahuja A K, Caspi A, Filley E, Dagnelie G, Salzmann J, Santos A, Duncan J, daCruz L, Mohand-Said S, Eliott D, McMahon M J and Greenberg R J 2009 Preliminary 6 month results from the argus ii epiretinal prosthesis feasibility study IEEE Int. Conf. of Eng. in Medicine and Biology Society (EMBC) pp 4566-4568
- Douchon C E 1979 Lanczos filtering in one and two dimensions Journal of Applied Meterology 18 1016-1022
- Wilke R, Bach M, Wilheml B, Durst W, Trauzettel-Klosinski S and Zrenner E 2008 Artificial Sight (New York: Springer) chap Testing visual functions in patients with visual prostheses, pp 91-110
- Authors
- Barnes, N., Scott, A. F., Lieby, P., Petoe, M. A., McCarthy, C., Stacey, A., Ayton, L. N., Sinclair, N. C., Shivdasani, M. N., Lovell, N. H., McDermott, H. J., Walker, J. G., & for the BVA Consortium
- Affiliations
- Australian National University (AU)
- Data61 (AU)
- Bionics Institute (AU)
- The University of Melbourne (AU)
- UNSW Sydney (AU)
- Corresponding author
- Barnes, Nick
- ORCID
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2016-04-25
- Volume
- 13
- Issue
- 3
- Pages
- 036013
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2343057586
- Cited by
- 46
- References
- 66
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 6 · 2020: 5 · 2019: 1 · 2018: 5 · 2017: 8 · 2016: 1
- FWCI
- 2.80
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Funders
- CERA and Bionics Institute, Operational Infrastracture, Government of Victoria
- NICTA supported by Australian Government through the Department of Communication and the Australian Research Council
- Australian Research Council - Strategic Research Inititative on Bionic Vision Sceicne and Technology Grant to Bionic Vision Australia
- NH&MRC Centre for Research Excellence (29923)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- image filtering, retinitis pigmentosa, visual acuity, grating acuity, Landolt C, visual processing
- MeSH terms
- Blindness, Choroid, Electrodes, Implanted, Female, Humans, Light, Male, Middle Aged, Psychomotor Performance, Retinitis Pigmentosa, Vision, Ocular, Vision Disorders, Visual Acuity, Visual Perception, Treatment Outcome, Visual Prosthesis
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