title: Simultaneous Segmentation of Retinal Surfaces and Microcystic Macular Edema in SDOCT Volumes.
abstract: Optical coherence tomography (OCT) is a noninvasive imaging modality that has begun to find widespread use in retinal imaging for the detection of a variety of ocular diseases. In addition to structural changes in the form of altered retinal layer thicknesses, pathological conditions may also cause the formation of edema within the retina. In multiple sclerosis, for instance, the nerve fiber and ganglion cell layers are known to thin. Additionally, the formation of pseudocysts called microcystic macular edema (MME) have also been observed in the eyes of about 5% of MS patients, and its presence has been shown to be correlated with disease severity. Previously, we proposed separate algorithms for the segmentation of retinal layers and MME, but since MME mainly occurs within specific regions of the retina, a simultaneous approach is advantageous. In this work, we propose an automated globally optimal graph-theoretic approach that simultaneously segments the retinal layers and the MME in volumetric OCT scans. SD-OCT scans from one eye of 12 MS patients with known MME and 8 healthy controls were acquired and the pseudocysts manually traced. The overall precision and recall of the pseudocyst detection was found to be 86.0% and 79.5%, respectively.
authors.affiliation: Department of Electrical and Computer Engineering, The Johns Hopkins University.
authors.forename: Bhavna J
authors.initials: BJ
authors.lastname: Antony
authors.affiliation: Department of Electrical and Computer Engineering, The Johns Hopkins University.
authors.forename: Andrew
authors.initials: A
authors.lastname: Lang
authors.affiliation: Department of Biomedical Engineering, The Ohio State University.
authors.forename: Emily K
authors.initials: EK
authors.lastname: Swingle
authors.affiliation: Department of Neurology, The Johns Hopkins University School of Medicine.
authors.forename: Omar
authors.initials: O
authors.lastname: Al-Louzi
authors.affiliation: Department of Electrical and Computer Engineering, The Johns Hopkins University.
authors.forename: Aaron
authors.initials: A
authors.lastname: Carass
authors.affiliation: Wilmer Eye Institute, The Johns Hopkins University School of Medicine.
authors.forename: Sharon
authors.initials: S
authors.lastname: Solomon
authors.affiliation: Department of Neurology, The Johns Hopkins University School of Medicine.
authors.forename: Peter A
authors.initials: PA
authors.lastname: Calabresi
authors.affiliation: Department of Neurology, The Johns Hopkins University School of Medicine.
authors.forename: Shiv
authors.initials: S
authors.lastname: Saidha
authors.affiliation: Department of Electrical and Computer Engineering, The Johns Hopkins University.
authors.forename: Jerry L
authors.initials: JL
authors.lastname: Prince
keywords: graph-cuts; graph-theoretic approach; microcysts; multiple surface segmentation; optical coherence tomography; retina