Automated Image Alignment For Change Detection In ROP

J. Eledath, M. Bansal, S. Kuthirummal, H. Sawhney, M. D Mills, K. Karp, G. E Quinn, R. A Stone

Abstract

We have developed a novel fundus image alignment procedure that facilitates flicker-based identification of changes in width and tortuosity of retinal blood vessels. Since our alignment process implicitly accounts for unknown camera parameters, it has the potential to increase the sensitivity and precision of clinical estimates of disease progression or therapeutic response in ROP.