Paper
21 March 2016 Simultaneous segmentation of retinal surfaces and microcystic macular edema in SDOCT volumes
Bhavna J. Antony, Andrew Lang, Emily K. Swingle, Omar Al-Louzi, Aaron Carass, Sharon Solomon, Peter A. Calabresi, Shiv Saidha, Jerry L. Prince
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhavna J. Antony, Andrew Lang, Emily K. Swingle, Omar Al-Louzi, Aaron Carass, Sharon Solomon, Peter A. Calabresi, Shiv Saidha, and Jerry L. Prince "Simultaneous segmentation of retinal surfaces and microcystic macular edema in SDOCT volumes", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97841C (21 March 2016); https://doi.org/10.1117/12.2214676
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Cited by 13 scholarly publications.
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KEYWORDS
Image segmentation

Optical coherence tomography

Medical imaging

Medicine

Scanning laser ophthalmoscopes

Algorithm development

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