June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Towards uniform cone reflectivity in confocal adaptive optics scanning light ophthalmoscope retinal images
Author Affiliations & Notes
  • Jenna Grieshop
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
    Biomedical Engineering, Medical College of Wisconsin and Marquette University, Milwaukee, Wisconsin, United States
  • Heather Heitkotter
    Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Ruth Woehlke
    Biomedical Engineering, Medical College of Wisconsin and Marquette University, Milwaukee, Wisconsin, United States
  • Mina Gaffney
    Biomedical Engineering, Medical College of Wisconsin and Marquette University, Milwaukee, Wisconsin, United States
  • James A Kuchenbecker
    Ophthalmology, University of Washington School of Medicine, Seattle, Washington, United States
  • Robert F Cooper
    Biomedical Engineering, Medical College of Wisconsin and Marquette University, Milwaukee, Wisconsin, United States
  • Joseph Carroll
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Footnotes
    Commercial Relationships   Jenna Grieshop None; Heather Heitkotter None; Ruth Woehlke None; Mina Gaffney None; James Kuchenbecker None; Robert Cooper Translational Imaging Innovations, Code C (Consultant/Contractor), Translational Imaging Innovations, Code I (Personal Financial Interest), US Patent App 16/389,942, Code P (Patent); Joseph Carroll AGTC, Code C (Consultant/Contractor), OptoVue, AGTC, MeiraGTx, Code F (Financial Support), Translational Imaging Innovations, Code I (Personal Financial Interest)
  • Footnotes
    Support  F31EY033204, FFB- CC-CL-0620-0785-MRQ, R01EY017607, UL1TR001436, FFB-BR-CL-0720-0784-MCW, R44EY031278, CTSI of Southeast Wisconsin: 2020 Traditional Pilot Award, Research to Prevent Blindness: Career Development Award, Unrestricted grant to UW Ophthalmology
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 399 – F0437. doi:
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    • Get Citation

      Jenna Grieshop, Heather Heitkotter, Ruth Woehlke, Mina Gaffney, James A Kuchenbecker, Robert F Cooper, Joseph Carroll; Towards uniform cone reflectivity in confocal adaptive optics scanning light ophthalmoscope retinal images. Invest. Ophthalmol. Vis. Sci. 2022;63(7):399 – F0437.

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

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Abstract

Purpose : The appearance of cone photoreceptors in confocal adaptive optics scanning light ophthalmoscope (AOSLO) images is highly variable, which can present challenges for cone detection algorithms. We sought to develop a method to induce intra-video variability in cone reflectance whereby processed images would have less intercell variability in cone reflectance.

Methods : Six individuals with no known eye disease were recruited. One eye from each individual was imaged nine times in a single session with a confocal AOSLO (772±13nm source). Six videos had a 3-second 30Hz stimulus presented halfway through acquisition (three using 450nm light and three using 550nm light), and three videos were acquired with no stimulus. Videos were collected in a randomized order. Videos were then trimmed into two separate videos: frames from the first half of the video and frames from the second half of the video (i.e., before and after the stimulus presentation). These trimmed videos were processed, averaged, and co-aligned for analysis. Cone coordinates identified using a semi-automated program and cone reflectance values were extracted. The change in cone reflectance between before and after stimulus presentation was calculated for each stimulus condition.

Results : With no stimulus, cones changed reflectivity by an average of 20.4% (range:12.8-30.1%). Greater changes in reflectivity were observed for the 450nm stimulus (average=25.9, range:14.4-45.4%) and for the 550nm stimulus (average=28.4%, range:17.7-45.8%). Of the 36 total stimulus videos, 27 (75%) had a greater average change in reflectivity than the no stimulus condition. Standard deviation (SD) of the percent difference for individual cones was also greater for the stimulus conditions: 450nm average SD = 18.3% (range:12.0-24.1%), 550nm average SD = 20.1% (range:15.6-25.1%), no stimulus average SD = 15.9% (range:10.9-19.4%). Of the 36 total stimulus videos, 28 (78%) had a greater SD across cone reflectivity changes than observed for the no stimulus condition.

Conclusions : The presentation of a stimulus during AOSLO imaging increases the amount of change in reflectance of individual cones over the course of a single video. Leveraging this variable cone reflectance across an AOSLO stimulus video may result in processed images with more uniform cone appearance and thus easier detection of cones by either automated algorithms or manual graders.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

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