Stefan B Ploner1, Eric M Moult, WooJhon Choi, Nadia K Waheed, ByungKun Lee, Eduardo A Novais, Emily D Cole, Benjamin Potsaid, Lennart Husvogt, Julia Schottenhamml, Andreas Maier, Philip J Rosenfeld, Jay S Duker, Joachim Hornegger, James G Fujimoto. 1. *Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts; †Department of Computer Science, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany; ‡New England Eye Center, Tufts Medical Center, Boston, Massachusetts; §Department of Ophthalmology, Federal University of São Paulo, School of Medicine, São Paulo, Brazil; ¶Praevium Research Inc, Santa Barbara, California; **Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida; and ††Erlangen Graduate School in Advanced Optical Technologies (SAOT), Erlangen, Germany.
Abstract
PURPOSE: Currently available optical coherence tomography angiography systems provide information about blood flux but only limited information about blood flow speed. The authors develop a method for mapping the previously proposed variable interscan time analysis (VISTA) algorithm into a color display that encodes relative blood flow speed. METHODS: Optical coherence tomography angiography was performed with a 1,050 nm, 400 kHz A-scan rate, swept source optical coherence tomography system using a 5 repeated B-scan protocol. Variable interscan time analysis was used to compute the optical coherence tomography angiography signal from B-scan pairs having 1.5 millisecond and 3.0 milliseconds interscan times. The resulting VISTA data were then mapped to a color space for display. RESULTS: The authors evaluated the VISTA visualization algorithm in normal eyes (n = 2), nonproliferative diabetic retinopathy eyes (n = 6), proliferative diabetic retinopathy eyes (n = 3), geographic atrophy eyes (n = 4), and exudative age-related macular degeneration eyes (n = 2). All eyes showed blood flow speed variations, and all eyes with pathology showed abnormal blood flow speeds compared with controls. CONCLUSION: The authors developed a novel method for mapping VISTA into a color display, allowing visualization of relative blood flow speeds. The method was found useful, in a small case series, for visualizing blood flow speeds in a variety of ocular diseases and serves as a step toward quantitative optical coherence tomography angiography.
PURPOSE: Currently available optical coherence tomography angiography systems provide information about blood flux but only limited information about blood flow speed. The authors develop a method for mapping the previously proposed variable interscan time analysis (VISTA) algorithm into a color display that encodes relative blood flow speed. METHODS: Optical coherence tomography angiography was performed with a 1,050 nm, 400 kHz A-scan rate, swept source optical coherence tomography system using a 5 repeated B-scan protocol. Variable interscan time analysis was used to compute the optical coherence tomography angiography signal from B-scan pairs having 1.5 millisecond and 3.0 milliseconds interscan times. The resulting VISTA data were then mapped to a color space for display. RESULTS: The authors evaluated the VISTA visualization algorithm in normal eyes (n = 2), nonproliferative diabetic retinopathy eyes (n = 6), proliferative diabetic retinopathy eyes (n = 3), geographic atrophy eyes (n = 4), and exudative age-related macular degeneration eyes (n = 2). All eyes showed blood flow speed variations, and all eyes with pathology showed abnormal blood flow speeds compared with controls. CONCLUSION: The authors developed a novel method for mapping VISTA into a color display, allowing visualization of relative blood flow speeds. The method was found useful, in a small case series, for visualizing blood flow speeds in a variety of ocular diseases and serves as a step toward quantitative optical coherence tomography angiography.
Authors: Brian White; Mark Pierce; Nader Nassif; Barry Cense; B Park; Guillermo Tearney; Brett Bouma; Teresa Chen; Johannes de Boer Journal: Opt Express Date: 2003-12-15 Impact factor: 3.894
Authors: Yanping Huang; Qinqin Zhang; Mariana R Thorell; Lin An; Mary K Durbin; Michal Laron; Utkarsh Sharma; Giovanni Gregori; Philip J Rosenfeld; Ruikang K Wang Journal: Ophthalmic Surg Lasers Imaging Retina Date: 2014 Sep-Oct Impact factor: 1.300
Authors: Robert F Mullins; Aditi Khanna; Desi P Schoo; Budd A Tucker; Elliott H Sohn; Arlene V Drack; Edwin M Stone Journal: Adv Exp Med Biol Date: 2014 Impact factor: 2.622
Authors: Boy Braaf; Kari V Vienola; Christy K Sheehy; Qiang Yang; Koenraad A Vermeer; Pavan Tiruveedhula; David W Arathorn; Austin Roorda; Johannes F de Boer Journal: Biomed Opt Express Date: 2012-12-11 Impact factor: 3.732
Authors: WooJhon Choi; Kathrin J Mohler; Benjamin Potsaid; Chen D Lu; Jonathan J Liu; Vijaysekhar Jayaraman; Alex E Cable; Jay S Duker; Robert Huber; James G Fujimoto Journal: PLoS One Date: 2013-12-11 Impact factor: 3.240
Authors: Jin Yang; Qinqin Zhang; Elie H Motulsky; Marie Thulliez; Yingying Shi; Cancan Lyu; Luis de Sisternes; Mary K Durbin; William Feuer; Ruikang K Wang; Giovanni Gregori; Philip J Rosenfeld Journal: Am J Ophthalmol Date: 2019-06-21 Impact factor: 5.258
Authors: Stefan B Ploner; Martin F Kraus; Eric M Moult; Lennart Husvogt; Julia Schottenhamml; A Yasin Alibhai; Nadia K Waheed; Jay S Duker; James G Fujimoto; Andreas K Maier Journal: Biomed Opt Express Date: 2020-12-08 Impact factor: 3.732
Authors: Malvika Arya; Ramy Rashad; Osama Sorour; Eric M Moult; James G Fujimoto; Nadia K Waheed Journal: Expert Rev Med Devices Date: 2018-11-22 Impact factor: 3.166