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Given the capacity of Optical Coherence Tomography (OCT) imaging to displaysymptoms of a wide variety of eye diseases and neurological disorders, the needfor OCT image segmentation and the corresponding data interpretation islatterly felt more than ever before. In this paper, we wish to address thisneed by designing a semi-automatic software program for applying reliablesegmentation of 8 different macular layers as well as outlining retinalpathologies such as diabetic macular edema. The software accommodates a novelgraph-based semi-automatic method, called ''Livelayer'' which is designed forstraightforward segmentation of retinal layers and fluids. This method ischiefly based on Dijkstra's Shortest Path (SPF) algorithm and the Live-wirefunction together with some preprocessing operations on the to-be-segmentedimages. The software is indeed suitable for obtaining detailed segmentation oflayers, exact localization of clear or unclear fluid objects and the groundtruth, demanding far less endeavor in comparison to a common manualsegmentation method. It is also valuable as a tool for calculating theirregularity index in deformed OCT images. The amount of time (seconds) thatLivelayer required for segmentation of ILM, IPL-INL, OPL-ONL was much less thanthat for the manual segmentation, 5s for the ILM (minimum) and 15.57s for theOPL-ONL (maximum). The unsigned errors (pixels) between the semi-automaticallylabeled and gold standard data was on average 2.7, 1.9, 2.1 for ILM, IPL-INL,OPL-ONL, respectively. The Bland-Altman plots indicated perfect concordancebetween the Livelayer and the manual algorithm and that they could be usedinterchangeably. The repeatability error was around one pixel for the OPL-ONLand < 1 for the other two. The dice scores for comparing the two algorithms andfor obtaining the repeatability on segmentation of fluid objects were atacceptable levels.

Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images