June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Retinal image registration in optical coherence tomography and fluorescence imaging
Author Affiliations & Notes
  • Corin Otesteanu
    ARTORG Center for Biomedical Engineering Research, Bern, Bern, Switzerland
  • Lucio Robledo
    Haag-Streit Group, Koeniz, Bern, Switzerland
  • Martin Sebastian Zinkernagel
    Inselspital Universitatsspital Bern, Bern, Bern, Switzerland
  • Raphael Sznitman
    ARTORG Center for Biomedical Engineering Research, Bern, Bern, Switzerland
  • Pablo Marquez-Neila
    ARTORG Center for Biomedical Engineering Research, Bern, Bern, Switzerland
  • Footnotes
    Commercial Relationships   Corin Otesteanu None; Lucio Robledo None; Martin Zinkernagel None; Raphael Sznitman None; Pablo Marquez-Neila None
  • Footnotes
    Support  Innosuisse 40419.1 IP-LS
Investigative Ophthalmology & Visual Science June 2023, Vol.64, OD54. doi:
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      Corin Otesteanu, Lucio Robledo, Martin Sebastian Zinkernagel, Raphael Sznitman, Pablo Marquez-Neila; Retinal image registration in optical coherence tomography and fluorescence imaging. Invest. Ophthalmol. Vis. Sci. 2023;64(8):OD54.

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

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Abstract

Purpose : To investigate the feasibility of an in-house built device for acquiring optical coherence tomography (OCT) and fluorescence images simultaneously for macular imaging. Registration of these modalities is necessary to correct motion artifacts that degrade image quality.

Methods : OCT and fluorescent volumes were consecutively acquired from two healthy volunteers and of a model eye. Data were acquired in the following axes order: depth (0z), lateral (0x), and azimuthal (0y). An additional 2D slice was acquired in the depth-azimuthal plane.
First, 2D Bscans (x0z slices) were registered in every 3D volume–intra-volume registration. Gradient descent optimization with mutual information as a cost function was used to solve this 2D rigid registration problem. For registration validation purposes, a 2D slice that was acquired in the y0z plane was used as ground truth. Results were compared to this using the mean squared error metric (MSE).
Second, the 3D volumes of a patient were registered with each other–inter volume registration. A similar approach to that described was used to solve this as a 3D rigid registration problem.

Results : A decrease in MSE of 15.5% (±17.4% std) was obtained after the Bscan registration. Figure 1a,b show a y0z slice pre- and post-registration of an acquisition with various motion pulses. The peaks in the retina from the pre-registration images have been corrected in the post-registered image. The 3D registered volumes were averaged, and the corresponding enface image was computed. A sharper optic nerve head (ONH) image was obtained in the post-registration (Fig. 1c). Figure 2a shows a fluoresce ONH image centered on the fovea, visibly sharper post-registration. A side-by-side comparison of a model eye fluorescence and enface images after registration shows a good correspondence of anatomical structures (Fig. 2b).

Conclusions : We showed that OCT and fluorescence retinal image errors due to motion artifacts can be improved using the presented registration approach. A 15.5% improvement was achieved in MSE. Visually the resulting images were sharper or with fewer artifacts.

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

 

Comparison of y0z slice of OCT volumes pre-and post-registration (a,b). Enface images of averaged 3D OCT volumes across all instances from a volunteer (c).

Comparison of y0z slice of OCT volumes pre-and post-registration (a,b). Enface images of averaged 3D OCT volumes across all instances from a volunteer (c).

 

Fluorescent images of averaged 3D volumes of a volunteer, pre and post registration (a) fluorescent image of a model eye and its enface counterpart after registration (b).

Fluorescent images of averaged 3D volumes of a volunteer, pre and post registration (a) fluorescent image of a model eye and its enface counterpart after registration (b).

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