June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
High-density and >20-degree field-of-view Lissajous scan optical coherence tomography angiography in diabetic retinopathy
Author Affiliations & Notes
  • Yoshiaki Yasuno
    Computational Optics Group, Tsukuba Daigaku, Tsukuba, Ibaraki, Japan
  • Masahiro Miura
    Department of Ophthalmology, Tokyo Ika Daigaku Ibaraki Iryo Center, Inashiki-gun, Ibaraki, Japan
  • Shinnosuke Azuma
    Kabushiki Kaisha Topcon, Itabashi-ku, Tokyo, Japan
  • Toshihiro Mino
    Kabushiki Kaisha Topcon, Itabashi-ku, Tokyo, Japan
  • Shuichi Makita
    Computational Optics Group, Tsukuba Daigaku, Tsukuba, Ibaraki, Japan
  • Footnotes
    Commercial Relationships   Yoshiaki Yasuno Topcon, Code F (Financial Support), Nikon, Code F (Financial Support), Yokogawa, Code F (Financial Support), Sky Technology, Code F (Financial Support), Kao, Code F (Financial Support); Masahiro Miura Alcon, Code F (Financial Support), Santen, Code F (Financial Support), Novartis, Code R (Recipient), Santen, Code R (Recipient); Shinnosuke Azuma Topcon, Code E (Employment); Toshihiro Mino Topcon, Code E (Employment); Shuichi Makita Topcon, Code F (Financial Support), Nikon, Code F (Financial Support), Yokogawa, Code F (Financial Support), Sky Technology, Code F (Financial Support), Kao, Code F (Financial Support)
  • Footnotes
    Support  Japan Society for the Promotion of Science (JSPS) KAKENHI (18H01893, 18K09460, 21K09684, 21H01836, 22K04962), Core Research for Evolutional Science and Technology (JPMJCR2105)
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3391. doi:
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      Yoshiaki Yasuno, Masahiro Miura, Shinnosuke Azuma, Toshihiro Mino, Shuichi Makita; High-density and >20-degree field-of-view Lissajous scan optical coherence tomography angiography in diabetic retinopathy. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3391.

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

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Abstract

Purpose : Assessment of microstructural abnormalities in the retina in vivo by OCT/OCTA is difficult in a large field of view (FOV) because of eye motion. Here we visualize such abnormalities by using newly developed motion-free, high-dense, and extended FOV Lissajous scan OCT.

Methods : Thirty-four eyes of 17 diabetic retinopathy patients have been scanned with a convolutional Lissajous scan, which enables high-dense spatial sampling with a large FOV of >6.8-mm diameter, using a prototype OCT device. Eye motion is corrected, and blanks due to eye blinks are interpolated by redundant sampling data. Motion-free en-face images with 6.8×6.8-mm FOV and 820×820 grid points are reconstructed without eye tracking. All eyes were also scanned by a low-dense (6×6 mm, 320×320 samples) and high-dense (3×3 mm, 320×320 samples) raster scans by a commercial OCT device (DRI-OCT, Topcon, Japan). Both OCT devices are 1-µm swept-source OCT and have similar specifications, i.e., spatial resolutions, sensitivity, and A-scan rate.
To assess the effects of high-dense sampling, metrics of the foveal avascular zone (FAZ) were compared in five eyes. The FAZ was segmented by a semi-automatic method with the same segmentation parameters. The FAZ areas and perimeters were compared between high-dense raster and Lissajous scans and between high-dense and low-dense raster scans. Paired t-test has been applied with a significant level of 0.05.

Results : Fig. 1 shows OCTA images obtained by the Lissajous and raster scans from an example case. The Lissajous scan shows smooth vasculature. Near the fovea (white ellipse), smooth vasculature similar to the high-dense raster scan can be visualized compared to the low-dense raster scan.
The difference between high-dense and low-dense raster scans in FAZ metrics obtained from 5 eyes was statistically significant (area: p=0.039, perimeter: p=0.033). Meanwhile, the difference between high-dense and Lissajous scans was not statistically significant (area: p=0.165, perimeter: 0.881).

Conclusions : The Lissajous scan OCTA enables high-dense en-face posterior eye vasculature imaging with a large FOV and achieves FAZ metrics similar to the high-dense raster scan. This technique will enable the assessment of biomarkers accurately with a large FOV.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

En-face OCTA of a diabetic retinopathy patient eye obtained with high-density Lissajous scan, raster, and high-dense raster scans.

En-face OCTA of a diabetic retinopathy patient eye obtained with high-density Lissajous scan, raster, and high-dense raster scans.

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