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Proceedings Paper

Visualizing microvascular flow variation in OCTA using variable interscan time analysis (VISTA) (Conference Presentation)
Author(s): Eric M. Moult; Stefan A. Ploner; WooJhon Choi; ByungKun Lee; Lennart A. Husvogt; Chen D. Lu; Eduardo Novais; Emily D. Cole; Benjamin M. Potsaid; Jay S. Duker; Joachim Hornegger; Andreas K. Meier; Nadia K. Waheed; James G. Fujimoto

Paper Abstract

OCT angiography (OCTA) has recently garnered immense interest in clinical ophthalmology, permitting ocular vasculature to be viewed in exquisite detail, in vivo, and without the injection of exogenous dyes. However, commercial OCTA systems provide little information about actual erythrocyte speeds; instead, OCTA is typically used to visualize the presence and/or absence of vasculature. This is an important limitation because in many ocular diseases, including diabetic retinopathy (DR) and age-related macular degeneration (AMD), alterations in blood flow, but not necessarily only the presence or absence of vasculature, are thought to be important in understanding pathogenesis. To address this limitation, we have developed an algorithm, variable interscan time analysis (VISTA), which is capable of resolving different erythrocyte speeds. VISTA works by acquiring >2 repeated B-scans, and then computing multiple OCTA signals corresponding to different effective interscan times. The OCTA signals corresponding to different effective interscan times contain independent information about erythrocyte speed. In this study we provide a theoretical overview of VISTA, and investigate the utility of VISTA in studying blood flow alterations in ocular disease. OCTA-VISTA images of eyes with choroidal neovascularization, geographic atrophy, and diabetic retinopathy are presented.

Paper Details

Date Published: 19 April 2017
PDF: 1 pages
Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, 100530F (19 April 2017); doi: 10.1117/12.2254845
Show Author Affiliations
Eric M. Moult, Harvard-MIT Health Sciences and Technology (United States)
Stefan A. Ploner, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Harvard-MIT Health Sciences and Technology (United States)
WooJhon Choi, Harvard-MIT Health Sciences and Technology (United States)
ByungKun Lee, Harvard-MIT Health Sciences and Technology (United States)
Lennart A. Husvogt, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Harvard-MIT Health Sciences and Technology (United States)
Chen D. Lu, Harvard-MIT Health Sciences and Technology (United States)
Eduardo Novais, New England Eye Ctr. (United States)
Federal Univ. of Sao Paulo, School of Medicine (Brazil)
Emily D. Cole, New England Eye Ctr. (United States)
Benjamin M. Potsaid, Research Lab. for Electronics, MIT (United States)
Advanced Imaging Group, Thorlabs (United States)
Jay S. Duker, New England Eye Ctr. (United States)
Joachim Hornegger, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Andreas K. Meier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Nadia K. Waheed, New England Eye Ctr. (United States)
James G. Fujimoto, Research Lab. for Electronics, MIT (United States)


Published in SPIE Proceedings Vol. 10053:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI
James G. Fujimoto; Joseph A. Izatt; Valery V. Tuchin, Editor(s)

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