Literature DB >> 28919660

Collaborative SDOCT Segmentation and Analysis Software.

Yeyi Yun1, Aaron Carass1, Andrew Lang1, Jerry L Prince1, Bhavna J Antony1.   

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.

Entities:  

Keywords:  SDOCT; graphical user interface; retina; visualization

Year:  2017        PMID: 28919660      PMCID: PMC5600167          DOI: 10.1117/12.2254050

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  18 in total

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Journal:  Ophthalmology       Date:  1991-05       Impact factor: 12.079

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Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015

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8.  Inner retinal layer thinning in Parkinson disease.

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Journal:  BMJ Open       Date:  2016-05-06       Impact factor: 2.692

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Authors:  Andrew Lang; Aaron Carass; Matthew Hauser; Elias S Sotirchos; Peter A Calabresi; Howard S Ying; Jerry L Prince
Journal:  Biomed Opt Express       Date:  2013-06-14       Impact factor: 3.732

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