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Proceedings Paper

Collaborative SDOCT segmentation and analysis software
Author(s): Yeyi Yun; Aaron Carass; Andrew Lang; Jerry L. Prince; Bhavna J. Antony
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Paper Abstract

Spectral domain optical coherence tomography (SDOCT) is routinely used in the management and diagnosis of a variety of ocular diseases. This imaging modality also finds widespread use in research, where quantitative measurements obtained from the images are used to track disease progression. In recent years, the number of available scanners and imaging protocols grown and there is a distinct absence of a unified tool that is capable of visualizing, segmenting, and analyzing the data. This is especially noteworthy in longitudinal studies, where data from older scanners and/or protocols may need to be analyzed. Here, we present a graphical user interface (GUI) that allows users to visualize and analyze SDOCT images obtained from two commonly used scanners. The retinal surfaces in the scans can be segmented using a previously described method, and the retinal layer thicknesses can be compared to a normative database. If necessary, the segmented surfaces can also be corrected and the changes applied. The interface also allows users to import and export retinal layer thickness data to an SQL database, thereby allowing for the collation of data from a number of collaborating sites.

Paper Details

Date Published: 13 March 2017
PDF: 8 pages
Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013813 (13 March 2017); doi: 10.1117/12.2254050
Show Author Affiliations
Yeyi Yun, The Johns Hopkins Univ. (United States)
Aaron Carass, The Johns Hopkins Univ. (United States)
Andrew Lang, The Johns Hopkins Univ. (United States)
Jerry L. Prince, The Johns Hopkins Univ. (United States)
Bhavna J. Antony, The Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 10138:
Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications
Tessa S. Cook; Jianguo Zhang, Editor(s)

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