Paper
17 July 2015 Non-mydriatic video ophthalmoscope to measure fast temporal changes of the human retina
Ralf P. Tornow, Radim Kolář, Jan Odstrčilík
Author Affiliations +
Abstract
The analysis of fast temporal changes of the human retina can be used to get insight to normal physiological behavior and to detect pathological deviations. This can be important for the early detection of glaucoma and other eye diseases. We developed a small, lightweight, USB powered video ophthalmoscope that allows taking video sequences of the human retina with at least 25 frames per second without dilating the pupil. Short sequences (about 10 s) of the optic nerve head (20° x 15°) are recorded from subjects and registered offline using two-stage process (phase correlation and Lucas-Kanade approach) to compensate for eye movements. From registered video sequences, different parameters can be calculated. Two applications are described here: measurement of (i) cardiac cycle induced pulsatile reflection changes and (ii) eye movements and fixation pattern. Cardiac cycle induced pulsatile reflection changes are caused by changing blood volume in the retina. Waveform and pulse parameters like amplitude and rise time can be measured in any selected areas within the retinal image. Fixation pattern ΔY(ΔX) can be assessed from eye movements during video acquisition. The eye movements ΔX[t], ΔY[t] are derived from image registration results with high temporal (40 ms) and spatial (1,86 arcmin) resolution. Parameters of pulsatile reflection changes and fixation pattern can be affected in beginning glaucoma and the method described here may support early detection of glaucoma and other eye disease.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ralf P. Tornow, Radim Kolář, and Jan Odstrčilík "Non-mydriatic video ophthalmoscope to measure fast temporal changes of the human retina", Proc. SPIE 9540, Novel Biophotonics Techniques and Applications III, 954006 (17 July 2015); https://doi.org/10.1117/12.2181183
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Video

Eye

Image registration

Retina

Spatial resolution

Cameras

Head

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