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

Nick Barnes1, Adele F Scott, Paulette Lieby

  • 1NICTA Computer Vision Research Group, Building A, 7 London Circuit, Canberra, Australia. Research School of Engineering, Australian National University, Australia.

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|April 26, 2016
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Summary

Image filtering significantly improved visual task performance in participants with retinitis pigmentosa using a suprachoroidal retinal prosthesis. This advancement enhances prosthetic vision capabilities for better perception.

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Area of Science:

  • Biomedical Engineering
  • Ophthalmology
  • Neuroscience

Background:

  • Retinal prostheses aim to restore vision by stimulating remaining retinal neurons.
  • Image processing is crucial for translating visual information into patterns perceivable by prosthesis users.
  • Current research lacks comprehensive studies on non-task-specific image processing for suprachoroidal retinal prostheses.

Purpose of the Study:

  • To evaluate vision function in participants with a suprachoroidal retinal prosthesis.
  • To investigate the impact of image filtering on visual task performance compared to minimal processing.
  • To assess the efficacy of advanced vision processing for enhancing prosthetic vision.

Main Methods:

  • Three participants with retinitis pigmentosa received a suprachoroidal retinal prosthesis with 20 electrodes.
  • Vision function was tested using light localization, grating acuity, and Landolt C tasks.
  • Visual stimuli were processed using Lanczos2 filter, minimal vision processing (MVP), wide view regional averaging (WV), scrambled, and system off conditions.

Main Results:

  • All participants achieved significantly higher accuracy on the light localization task with the Lanczos2 filter compared to MVP and system off.
  • One participant demonstrated significantly improved performance on grating acuity tasks using Lanczos2 compared to WV, scrambled, and system off.
  • Preliminary results indicate the potential of advanced image processing for improving prosthetic vision outcomes.

Conclusions:

  • A 20-electrode suprachoroidal retinal prosthesis can support vision task completion.
  • Nyquist bandlimited image filtering (Lanczos2) offers a significant advantage for light localization tasks.
  • Advanced vision processing strategies are essential for enhancing the performance of retinal prostheses.