Visualizing microvascular flow variation in OCTA using variable interscan time analysis (VISTA)

Conference contribution
(Abstract of lecture)


Publication Details

Author(s): Moult EM, Ploner S, Choi W, Lee B, Husvogt L, Lu CD, Novais EA, Cole ED, Potsaid BM, Duker JS, Hornegger J, Maier A, Waheed NK, Fujimoto JG
Publication year: 2017
Conference Proceedings Title: Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI
Language: English


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.


FAU Authors / FAU Editors

Hornegger, Joachim Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Husvogt, Lennart
Lehrstuhl für Informatik 5 (Mustererkennung)
Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Ploner, Stefan
Lehrstuhl für Informatik 5 (Mustererkennung)


External institutions with authors

Massachusetts Institute of Technology (MIT)
Tufts Medical Center
Tufts University


How to cite

APA:
Moult, E.M., Ploner, S., Choi, W., Lee, B., Husvogt, L., Lu, C.D.,... Fujimoto, J.G. (2017, April). Visualizing microvascular flow variation in OCTA using variable interscan time analysis (VISTA). Paper presentation at SPIE BiOS, San Francisco, CA, USA, US.

MLA:
Moult, Eric M., et al. "Visualizing microvascular flow variation in OCTA using variable interscan time analysis (VISTA)." Presented at SPIE BiOS, San Francisco, CA, USA 2017.

BibTeX: 

Last updated on 2019-09-04 at 17:23