April 2014
Volume 55, Issue 13
ARVO Annual Meeting Abstract  |   April 2014
A New Efficient Retina Stimulation Strategy for High Resolution Retina Implant Systems
Author Affiliations & Notes
  • Irfan Karagoz
    Electrical and Electronics Engineering Department, Gazi University Engineering Faculty, Ankara, Turkey
    Biomedical Calibration and Research Center, Gazi University, Ankara, Turkey
  • Gungor Sobaci
    Electrical and Electronics Engineering Department, Kirikkale University, Kirikkale, Turkey
  • Mustafa Ozden
    Ophthalmology Department, Gulhane Military Medical Academy, Ankara, Turkey
  • Footnotes
    Commercial Relationships Irfan Karagoz, None; Gungor Sobaci, None; Mustafa Ozden, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 1810. doi:
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      Irfan Karagoz, Gungor Sobaci, Mustafa Ozden; A New Efficient Retina Stimulation Strategy for High Resolution Retina Implant Systems. Invest. Ophthalmol. Vis. Sci. 2014;55(13):1810.

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      © ARVO (1962-2015); The Authors (2016-present)

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Purpose: To develop a new strategy which provides interaction free electrical stimulation of retinal ganglion cells for improving temporal and spatial resolution of retina implant systems.

Methods: This strategy includes two steps to provide high spatial and temporal resolution for retina implant systems. In first step of this strategy, for a given electrode neighborhood the most active ganglion outputs (from our artificial retina software) are analyzed and selected as stimulation data. By this way, high resolution image is mapped to low resolution electrode matrix. In the second step, local interleaved electrical pulses are generated to reduce electrical interactions between implanted electrodes during electrical stimulation of retina. To evaluate the contribution of this strategy to the perceived image quality, computer based quantitative simulation studies and visual evaluation tests on normal seeing people were performed. For quantitative evaluation, the outputs for the classical method and the developed strategy were compared based on the Mean Squared Error (MSE), the Histogram Similarity Ratio (HSR), and Incorrectly Detected Edge Pixel (IDEP) parameters. In visual tests, performance of the method was evaluated in terms of contrast discrimination, pattern recognition,and object counting.

Results: In simulation studies on normal seeing subjects, our strategy yielded higher scores than classical stimulation method as %10.5, %16.1, and %14.1 for the contrast discrimination, pattern recognition, and object counting tests, respectively. In the quantitative comparison, developed strategy introduced 32.8% lower MSE value, 3% higher HSR value, and %11.34 lower IDEP value than the classical method.

Conclusions: By considering quantitative and visual tests’ results, it is concluded that this strategy is useful for stimulation of electrode matrix and can contribute to the improvement of visual prosthesis systems, especially for future’s high resolution retina implant systems. Acknowledgement: This work was supported by a grant from TUBITAK(113E181)

Keywords: 549 image processing  

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