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

Nick Barnes, Adele F. Scott, Paulette Lieby, Matthew A. Petoe, Chris McCarthy, Ashley Stacey, Lauren N. Ayton, Nicholas C. Sinclair, Mohit N. Shivdasani, Nigel H. Lovell, Hugh J. McDermott, Janine G. Walker

    Research output: Contribution to journalArticlepeer-review

    38 Citations (Scopus)


    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 () or with system off (). Further, in a preliminary result using Lanczos2, one participant successfully completed grating acuity and Landolt C tasks, and showed significantly better performance () 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. Identifier: NCT01503576.

    Original languageEnglish
    Article number036013
    JournalJournal of Neural Engineering
    Issue number3
    Publication statusPublished - 25 Apr 2016


    Dive into the research topics of 'Vision function testing for a suprachoroidal retinal prosthesis: Effects of image filtering'. Together they form a unique fingerprint.

    Cite this