July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Motion artifact compensated retinal angiography using spectrally encoded coherence tomography and reflectometry (SECTR)
Author Affiliations & Notes
  • Joseph Malone
    Vanderbilt University, Nashville, Tennessee, United States
  • Mohamed El-Haddad
    Vanderbilt University, Nashville, Tennessee, United States
  • Ivan Bozic
    Vanderbilt University, Nashville, Tennessee, United States
  • Yuankai Tao
    Vanderbilt University, Nashville, Tennessee, United States
  • Footnotes
    Commercial Relationships   Joseph Malone, None; Mohamed El-Haddad, None; Ivan Bozic, None; Yuankai Tao, None
  • Footnotes
    Support  none
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 4689. doi:
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    • Get Citation

      Joseph Malone, Mohamed El-Haddad, Ivan Bozic, Yuankai Tao; Motion artifact compensated retinal angiography using spectrally encoded coherence tomography and reflectometry (SECTR). Invest. Ophthalmol. Vis. Sci. 2018;59(9):4689.

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

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Abstract

Purpose : Optical coherence tomography angiography (OCT-A) enables depth-resolved, exogenous-contrast free imaging of ophthalmic vasculature. However, OCT-A trades-off imaging speed for field-of-view (FOV) and vessel resolution and, thus, is prone to motion artifacts. Spectrally encoded coherence tomography and reflectometry (SECTR) enables en face spectrally encoded reflectometry (SER) imaging simultaneous with cross-sectional OCT, which provides inherently co-registered FOVs and complementary three-dimensional information about sample motion at high spatiotemporal resolution. Here, we present SECTR angiography (SECTR-A) for motion artifact compensation during in vivo imaging of human retinal vasculature.

Methods : SECTR imaging was performed using a 400 kHz line-rate buffered 1060 nm Axsun swept-source. SER and OCT data were sampled at 2560x500 pix. (spectral x lateral) with 300 frames-per-volume and 8 repeated frames at each B-scan position. OCT-A was performed on OCT and motion-corrected OCT volumes, where lateral eye motions were estimated using SER registration (Fig. 1).

Results : We demonstrate in vivo SECTR-A of foveal vessels in a healthy volunteer. Registration of OCT B-scans was performed using en face SER frames to compensate for transverse motion artifacts in the SECTR-A volume (Fig, 1(a)). Retinal vessels, including capillaries and the foveal avascular zone, are clearly visualized.

Conclusions : SECTR-A enables motion-artifact free depth-resolved visualization of retinal vasculature. Co-registration between SER and OCT frames allows for correction of motion artifacts in post-processing and overcomes fundamental limitations of conventional OCT-A. Potential applications of SECTR-A include multi-volumetric registration for improved vascular contrast, and mosaicking for wide-field angiography.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

Figure 1: In vivo retinal SECTR-A. (a) SER registration parameters used for transverse motion compensation. (b) OCT-A and (c) SECTR-A en face projections.

Figure 1: In vivo retinal SECTR-A. (a) SER registration parameters used for transverse motion compensation. (b) OCT-A and (c) SECTR-A en face projections.

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