An automatic, intercapillary area based algorithm for quantifying diabetes related capillary dropout using OCT angiography

An automatic, intercapillary area based algorithm for quantifying diabetes related capillary dropout using OCT angiography

Purpose: To develop a robust, sensitive, and fully automatic algorithm to quantify diabetes-related capillary dropout using optical coherence tomography (OCT) angiography (OCTA). Methods: A 1,050-nm wavelength, 400 kHz A-scan rate swept-source optical coherence tomography prototype was used to perfo...

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Bibliographic Details
Main Authors: Schottenhamml, Julia Jennifer, Moult, Eric Michael, Ploner, Stefan B, Lee, ByungKun, Lu, Chen David, Fujimoto, James G
Other Authors: Massachusetts Institute of Technology. Research Laboratory of Electronics
Format: Article
Language:English
Published: Ovid Technologies (Wolters Kluwer Health) 2021
Online Access:https://hdl.handle.net/1721.1/129675

Internet

https://hdl.handle.net/1721.1/129675

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