Collaborative SDOCT segmentation and analysis software

Yeyi Yun; Aaron Carass; Andrew Lang; Jerry L. Prince; Bhavna J. Antony

doi:10.1117/12.2254050

13 March 2017 Collaborative SDOCT segmentation and analysis software

Yeyi Yun, Aaron Carass, Andrew Lang, Jerry L. Prince, Bhavna J. Antony

Author Affiliations +

Proceedings Volume 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications; 1013813 (2017) https://doi.org/10.1117/12.2254050
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

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.

Citation Download Citation

Yeyi Yun, Aaron Carass, Andrew Lang, Jerry L. Prince, and Bhavna J. Antony "Collaborative SDOCT segmentation and analysis software", Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013813 (13 March 2017); https://doi.org/10.1117/12.2254050

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