July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Advanced image processing for visible-light OCT oximetry in rodents
Author Affiliations & Notes
  • Brian Soetikno
    Northwestern University, Chicago, Illinois, United States
  • Lisa Beckmann
    Northwestern University, Chicago, Illinois, United States
  • Danlei Qiao
    Northwestern University, Chicago, Illinois, United States
  • Naomi Benson
    Northwestern University, Chicago, Illinois, United States
  • Xian Zhang
    Northwestern University, Chicago, Illinois, United States
  • Xiao Shu
    Northwestern University, Chicago, Illinois, United States
  • Ian Rubinoff
    Northwestern University, Chicago, Illinois, United States
  • Roman Kuranov
    Northwestern University, Chicago, Illinois, United States
  • Amani A Fawzi
    Northwestern University, Chicago, Illinois, United States
  • Hao F Zhang
    Northwestern University, Chicago, Illinois, United States
  • Footnotes
    Commercial Relationships   Brian Soetikno, None; Lisa Beckmann, None; Danlei Qiao, None; Naomi Benson, None; Xian Zhang, None; Xiao Shu, None; Ian Rubinoff, None; Roman Kuranov, None; Amani Fawzi, None; Hao Zhang, None
  • Footnotes
    Support  DP3DK108248, R01EY026078, R01EY029121, and 1R21EY027502, T32EY025202, T32GM008152, F30EY026472
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 1272. doi:https://doi.org/
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    • Get Citation

      Brian Soetikno, Lisa Beckmann, Danlei Qiao, Naomi Benson, Xian Zhang, Xiao Shu, Ian Rubinoff, Roman Kuranov, Amani A Fawzi, Hao F Zhang; Advanced image processing for visible-light OCT oximetry in rodents. Invest. Ophthalmol. Vis. Sci. 2019;60(9):1272. doi: https://doi.org/.

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

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Abstract

Purpose : Visible-light optical coherence tomography (vis-OCT) can perform retinal oximetry, but currently relies upon manual vessel segmentation. We present an automatic image processing technique to extract the oxygen saturation of hemoglobin (sO2) from circumpapillary vis-OCT scans in rodents.

Methods : Rodent imaging procedures were approved by the Northwestern University IACUC and conformed to the ARVO Statement on Animal Research. Brown Norway rats were anesthetized with 3% isoflurane for 3 minutes and intramuscular injection of a ketamine (0.37 mg/kg) and xylazine (0.07 mg/kg) cocktail. Drops of 1% tropicamide hydrochloride ophthalmic solution and commercial artificial tears were applied for pupil dilation and prevention of corneal dehydration, respectively. Animals were imaged using a custom-built vis-OCT system, designed for rodent imaging.
For the imaging protocol, a raster image is first acquired to confirm proper positioning of the optic nerve head. We next performed repeated circumpapillary scans (up to 100 scans). To determine vessel locations automatically, a peak-finding algorithm was applied to the one-dimensional shadowgram that was created for each B-scan. A graph-search algorithm was applied to determine the location of the posterior vessel wall for oxygen saturation calculation. Root mean square error (RMSE), mean error (ME), and standard deviation (SD) were used as metrics of the accuracy, bias, and precision, respectively.

Results : We compared our automatic segmentation technique with and without graph-search segmentation and found that the automatic technique had better sO2 accuracy (0.02 vs 0.06 for 20 B-scans), reduced bias (-0.02 vs. -0.06), but similar overall precision (0.18 vs. 0.18). Average arterial and venous sO2 values were 0.96 ± 0.01 and 0.74 ± 0.03, respectively. All the R2 values for the sO2 fitting were above 0.8 indicating that our sO2 fitting model predicted the data well.

Conclusions : We developed an automatic image processing method to extract the retinal oxygen saturation from circumpapillary vis-OCT scans and demonstrated its improved performance over conventional techniques.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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