Paper
20 March 2015 Longitudinal graph-based segmentation of macular OCT using fundus alignment
Andrew Lang, Aaron Carass, Omar Al-Louzi, Pavan Bhargava, Howard S. Ying, Peter A. Calabresi, Jerry L. Prince
Author Affiliations +
Abstract
Segmentation of retinal layers in optical coherence tomography (OCT) has become an important diagnostic tool for a variety of ocular and neurological diseases. Currently all OCT segmentation algorithms analyze data independently, ignoring previous scans, which can lead to spurious measurements due to algorithm variability and failure to identify subtle changes in retinal layers. In this paper, we present a graph-based segmentation framework to provide consistent longitudinal segmentation results. Regularization over time is accomplished by adding weighted edges between corresponding voxels at each visit. We align the scans to a common subject space before connecting the graphs by registering the data using both the retinal vasculature and retinal thickness generated from a low resolution segmentation. This initial segmentation also allows the higher dimensional temporal problem to be solved more efficiently by reducing the graph size. Validation is performed on longitudinal data from 24 subjects, where we explore the variability between our longitudinal graph method and a cross-sectional graph approach. Our results demonstrate that the longitudinal component improves segmentation consistency, particularly in areas where the boundaries are difficult to visualize due to poor scan quality.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew Lang, Aaron Carass, Omar Al-Louzi, Pavan Bhargava, Howard S. Ying, Peter A. Calabresi, and Jerry L. Prince "Longitudinal graph-based segmentation of macular OCT using fundus alignment", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94130M (20 March 2015); https://doi.org/10.1117/12.2077713
Lens.org Logo
CITATIONS
Cited by 8 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical coherence tomography

Image segmentation

Lawrencium

Retina

Image registration

Algorithm development

Diagnostics

Back to Top