Vision function testing for a suprachoroidal retinal prosthesis: effects of image filtering

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dc.contributor.authorBarnes, Nick
dc.contributor.authorScott, Adele
dc.contributor.authorLieby, Paulette
dc.contributor.authorPetoe, Matthew
dc.contributor.authorMcCarthy, Chris
dc.contributor.authorStacey, Ashley
dc.contributor.authorAyton, Lauren
dc.contributor.authorSinclair, Nicholas
dc.contributor.authorShivdasani, Mohit
dc.contributor.authorLovell, Nigel
dc.contributor.authorMcDermott, Hugh
dc.contributor.authorWalker, Janine
dc.contributor.authorBVA Consortium
dc.date.accessioned2017-09-05T23:30:50Z
dc.date.available2017-09-05T23:30:50Z
dc.date.issued2016-04
dc.description.abstractOBJECTIVE: 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 ([Formula: see text]) or with system off ([Formula: see text]). Further, in a preliminary result using Lanczos2, one participant successfully completed grating acuity and Landolt C tasks, and showed significantly better performance ([Formula: see text]) 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: NCT01503576.en_US
dc.description.sponsorshipThis study was supported by the Australian Research Council through its Special Research Initiative (SRI) in Bionic Vision Science and Technology grant to Bionic Vision Australia (BVA). NICTA is supported by the Australian Government through the Department of Communications and the Australian Research Council through the ICT Centre of Excellence Program. CERA receives Operational Infrastructure Support from the Victorian Government, and is supported by the NH&MRC Centre for Clinical Research Excellence (#529923) Translational Clinical Research in Major Eye Diseases. Bionics Institute receives Operational Infrastructure Support from the Victorian Government.en_US
dc.identifier.issn1741-2552 (Electronic) 1741-2552 (Linking)
dc.identifier.urihttp://repository.bionicsinstitute.org:8080/handle/123456789/259
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.subjectRetinal prostheticen_US
dc.subjectVision processing for prosthetic visionen_US
dc.subjectRetinitis pigmentosaen_US
dc.subjectBlindnessen_US
dc.subjectComputer visionen_US
dc.subjectImage filteringen_US
dc.titleVision function testing for a suprachoroidal retinal prosthesis: effects of image filteringen_US
dc.typeArticleen_US
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