- Software algorithm which amplifies small changes from seemingly static video
Decreased choroidal blood flow is thought to be the primary event leading to diabetic retinopathy, which is a prevalent disease and a leading contributor of all causes of blindness worldwide. Macular degeneration is also associated with abnormalities in choroidal blood flow and is a major cause of vision loss in the developed world. The current method, Indocyanine green (ICG) angiography, requires injection of a dye, to visualize choroidal vessel filling abnormalities. This technique, which takes up to an hour to complete acquiring images, does not provide much information about anatomic features of the choroid and is associated with allergic reactions.
Developed at the University of Kentucky, this technology is a software algorithm similar to Eulerian Video Magnification (EVM), amplifying small changes from seemingly static video. This invention involves the addition of pre-processing image stabilization to the EVM-like algorithm using reference points specific to the retina and interfacing with other biosensors to continuously refine variables in the algorithm to improve sensitivity and quality.
- Provides a noninvasive technique to visualize a patient’s retinal blood flow
- Decreases acquisition time
- Real-time image processing
- Easy-to use
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