Enforcing Monotonic Temporal Evolution in Dry Eye Images

Abstract

Abstract. We address the problem of identifying dry areas in the tear film as part of a diagnostic tool for dry-eye syndrome. The requirement is to identify and measure the growth of the dry regions to provide a time-evolving map of degrees of dryness. We segment dry regions using a multi-label graph-cut algorithm on the 3D spatio-temporal volume of frames from a video sequence. To capture the fact that dryness increases over the time of the sequence, we use a timeasymmetric cost function that enforces a constraint that the dryness of each pixel monotonically increases. We demonstrate how this increases our estimation's reliability and robustness. We tested the method on a set of videos and suggest further research using a similar approach.

TMIS: a new image‐based software application for the measurement of tear meniscus height

“…A few studies have also focused on the automated detection of dry eye, including recognition of dry areas (Yedidya et al. , ), tear film lipid layer (García‐Resúa et al. ,b; Remeseiro et al.…”

Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization

“…The distribution of the papers concerning these four topics in year of publication is shown in Figure 3. Details about aforementioned articles are summarized in http:// fp.amegroups.cn/cms/8e23864133337a312edb32e11e7655 dd/atm-20-976-1.pdf (39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53).…”

“…Most investigations about dry eye were designed for the automatic analysis of relevant examinations (24)(25)(26)(27)40,42,56). Among these studies, more emphasis is on tear film interferometry.…”

“…A combination of SIFT and SVM algorithms was applied to calculate the length and width of Meibomian glands in meibography images and then differentiate between healthy and unhealthy ones. Besides, fluorescein break up time test, a basic dry eye test, was also studied in (42,56). By analyzing the recorded videos during fluorescein break up time test, break-up time (BUT) can be calculated (42) and dry areas detected (56) using MRF and RANSAC algorithms respectively.…”

“…Besides, fluorescein break up time test, a basic dry eye test, was also studied in (42,56). By analyzing the recorded videos during fluorescein break up time test, break-up time (BUT) can be calculated (42) and dry areas detected (56) using MRF and RANSAC algorithms respectively.…”