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. 2016 Jul;35(7):1670-5.
doi: 10.1109/TMI.2016.2522918. Epub 2016 Feb 3.

Automated Real-Time Conjunctival Microvasculature Image Stabilization

Free PMC article

Automated Real-Time Conjunctival Microvasculature Image Stabilization

Anthony E Felder et al. IEEE Trans Med Imaging. .
Free PMC article

Abstract

The bulbar conjunctiva is a thin, vascularized membrane covering the sclera of the eye. Non-invasive imaging techniques have been utilized to assess the conjunctival vasculature as a means of studying microcirculatory hemodynamics. However, eye motion often confounds quantification of these hemodynamic properties. In the current study, we present a novel optical imaging system for automated stabilization of conjunctival microvasculature images by real-time eye motion tracking and realignment of the optical path. The ability of the system to stabilize conjunctival images acquired over time by reducing image displacements and maintaining the imaging area was demonstrated.

Figures

Fig 1
Fig 1
Schematic diagram of the optical imaging system for automated realtime image stabilization. Thick lines indicate hardware interfaces and thin lines indicate optical beam paths. The dash and dotted lines indicate the optical beam paths for tracking and imaging, respectively.
Fig 2
Fig 2
Mean images of the vertically modulated target at a mean linear velocity of 0.9 mm/s (a) before image stabilization (left column), during image stabilization at 60 FPS (center column), and during image stabilization at 90 FPS (right column); (b) Mean SS of the target image at each image stabilization condition. (c) Mean SDT of the target at each image stabilization condition. Error bars indicate standard deviation.
Fig 3
Fig 3
(a) Mean conjunctival microvasculature images acquired from a human subject before (left) and during image stabilization at 60 FPS (center) and 90 FPS (right). Arrowhead indicates area of increased sharpness and contrast, allowing for better visualization of the conjunctival microvasculature. (b) Mean SS of the conjunctival microvasculature images in all subjects at each image stabilization condition. Error bars and asterisks indicate standard deviation of means and statistically significant differences between stabilization conditions, respectively.
Fig 4
Fig 4
(a) Mean SDT and (b) mean FOVM of the conjunctival microvasculature at each image stabilization condition. Error bars and asterisks indicate standard deviation of means and statistically significant differences between stabilization conditions, respectively.

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