Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Phase gradient imaging enables quantification of retinal blood vessels geometric characteristics
Author Affiliations & Notes
  • Mircea Mujat
    Biomedical Optics Technologies, Physical Sciences Inc, Andover, Massachusetts, United States
  • Konstantina Sampani
    Joslin Diabetes Center, Boston, Massachusetts, United States
    Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States
  • Ankit Patel
    Biomedical Optics Technologies, Physical Sciences Inc, Andover, Massachusetts, United States
  • Jennifer K Sun
    Joslin Diabetes Center, Boston, Massachusetts, United States
    Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Nicusor Iftimia
    Biomedical Optics Technologies, Physical Sciences Inc, Andover, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Mircea Mujat Physical Sciences, Code E (Employment); Konstantina Sampani None; Ankit Patel Physical Sciences, Code E (Employment); Jennifer Sun Optovue, Novo Nordisk, Boehringer Ingelheim, Genentech/Roche, Physical Sciences, Janssen, Adaptive Sensory Technologies, Boston Micromachines, Code F (Financial Support); Nicusor Iftimia Physical Sciences, Code E (Employment)
  • Footnotes
    Support  NIH grant R44DK113932
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 3411. doi:
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    • Get Citation

      Mircea Mujat, Konstantina Sampani, Ankit Patel, Jennifer K Sun, Nicusor Iftimia; Phase gradient imaging enables quantification of retinal blood vessels geometric characteristics. Invest. Ophthalmol. Vis. Sci. 2024;65(7):3411.

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

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Abstract

Purpose : The purpose of the study was to identify new contrast mechanisms that reveal retinal structures not visible with other methods and would enable improved understanding of retinal pathology manifested in disruption of the vasculature.

Methods : Offset imaging provides cellular-level visualization of retinal structures with unprecedented details not available with other imaging modalities; however, directionality artifacts impede interpretation of individual offset images. Multi-channels offset AO-SLO provides isotropic images of retinal structures free of directionality artifacts. The PSI adaptive-optics retinal imager (MAORI) uses a fiber bundle arrangement that enables simultaneous collection of four offset images. Split-detection combining pairs of offset images is interpreted as phase derivative; the magnitude of phase gradient (MPG) is calculated from pairs of orthogonal split images.

Results : Two orthogonal split images highlight structural edges such as blood vessel walls along different directions making MPG isotropic. The mean of the standard deviation (STD) from multiple split images isotropically highlights the blood flow. Segmentation of MPG and STD images enables quantification of blood vessels walls geometric characteristics such as the lumen (LD) and vessel (VD) diameter, and wall-to-lumen ratio (WLR) along the length of the vessel (panel A). In addition, in particular in eyes with pathology, disruptions of the vessel wall structural integrity can be visualized in MPG images as highlighted by white arrows in panels B and C. Bulging or local thinning of walls may become the location of future microaneurysms. Panel A shows strong continuous vessel borders for a healthy subject, in contrast to the multiple wall disruptions (panels B and C) for subjects with type 1 diabetes but no diabetic retinopathy. Additional examples will be shown at the meeting.

Conclusions : AO-SLO imaging based on simultaneous acquisition of four offset aperture images provides an improved, isotropic, free of directionality artifacts, image of the inner retina vasculature. Phase gradient and motion contrast enable segmentation of the blood vessel wall and quantification of its geometric characteristics as well as identification of vessel wall integrity disruptions, all of which have diagnostic value.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

Segmentation of vessel wall (A); white arrows indicate vessel wall disruptions as bulging (B) or local thinning (C).

Segmentation of vessel wall (A); white arrows indicate vessel wall disruptions as bulging (B) or local thinning (C).

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