Optical Coherence Tomography Angiography of Type 1 Neovascularization in Age-Related Macular Degeneration

Kuehlewein, Laura; Bansal, Mayank; Lenis, Tamara L.; Iafe, Nicholas A.; Sadda, Srinivas R; Filho, Marco A. Bonini; Carlo, Talisa E de; Waheed, Nadia K.; Duker, Jay S.; Sarraf, David

doi:10.1016/j.ajo.2015.06.030

Cited by 305 publications

(252 citation statements)

References 25 publications

(29 reference statements)

Supporting

Mentioning

226

Contrasting

Unclassified

Order By: Relevance

“…[16][17][18][19][20][21][22][23][24] The feeder vessel to the choroid in type 1 and 2 CNV and to the retinal vasculature in type 3 CNV may be visible when there is good signal and scan quality. 24,25 Polyps in eyes with PCV are not easily visualized using OCTA.…”

Section: Age-related Macular Degeneration and Choroidal Neovascularizmentioning

confidence: 99%

Advances in Optical Coherence Tomography Angiography

Baumal¹,

Carlo²

2016

US Ophthalmic Review

View full text Add to dashboard Cite

Optical coherence tomography angiography (OCTA) is an exciting new imaging technology that allows for non-invasive non-dye-based visualization of blood flow in the posterior pole. The technology has been used to image a variety of chorioretinal disorders including choroidal neovascularization in age-related macular degeneration, diabetic retinopathy, retinal arterial occlusion, retinal vein occlusion, and macular telangiectasia type 2. Continued advances in the software will improve the quality of OCTA and reduce image artifacts.

show abstract

Section: Age-related Macular Degeneration and Choroidal Neovascularizmentioning

confidence: 99%

Advances in Optical Coherence Tomography Angiography

Baumal¹,

Carlo²

2016

US Ophthalmic Review

View full text Add to dashboard Cite

show abstract

“…It has become an important clinical tool in ophthalmology [6][7][8][9][10][11][12][13][14] and exhibits great potential for dermatology [15,16] and neurology [17]. To obtain flow signal, OCTA algorithms [1,3,[18][19][20] rely on mathematical operations that quantify variations in the amplitude and/or the phase of optical coherence tomography (OCT) signal between at least two consecutive B-scans acquired at the same raster position.…”

Section: Introductionmentioning

confidence: 99%

Regression-based algorithm for bulk motion subtraction in optical coherence tomography angiography

Camino¹,

Jia²,

Liu³

et al. 2017

Biomed. Opt. Express

View full text Add to dashboard Cite

Abstract:We developed an algorithm to remove decorrelation noise due to bulk motion in optical coherence tomography angiography (OCTA) of the posterior eye. In this algorithm, OCTA B-frames were divided into segments within which the bulk motion velocity could be assumed to be constant. This velocity was recovered using linear regression of decorrelation versus the logarithm of reflectance in axial lines (A-lines) identified as bulk tissue by percentile analysis. The fitting parameters were used to calculate a reflectance-adjusted upper bound threshold for bulk motion decorrelation. Below this threshold, voxels are identified as non-flow tissue, their flow values are set to zeros. Above this threshold, the voxels are identified as flow voxels and bulk motion velocity is subtracted from each using a nonlinear decorrelation-velocity relationship previously established in laboratory flow phantoms. Compared to the simpler median-subtraction method, the regression-based bulk motion subtraction improved angiogram signal-to-noise ratio, contrast, vessel density repeatability, and bulk motion noise cleanup in the foveal avascular zone, while preserving the connectivity of the vascular networks in the angiogram.

show abstract

“…OCTA has generated significant clinical interest as a label-free method of angiography, and a number of recent studies have investigated its potential in visualizing CNV in AMD. [3][4][5][6][7] Importantly, OCTA was shown to be able monitor changes in the CNV network over time in response to anti-vascular endothelial growth factor (anti-VEGF) treatment. [8][9][10] As a result, identification and quantification of the CNV network may have important clinical implications.…”

Section: Introductionmentioning

confidence: 99%

Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography

et al. 2016

View full text Add to dashboard Cite

Abstract. Quantification of choroidal neovascularization (CNV) as visualized by optical coherence tomography angiography (OCTA) may have importance clinically when diagnosing or tracking disease. Here, we present an automated algorithm to quantify the vessel skeleton of CNV as vessel length. Initial segmentation of the CNV on en face angiograms was achieved using saliency-based detection and thresholding. A level set method was then used to refine vessel edges. Finally, a skeleton algorithm was applied to identify vessel centerlines. The algorithm was tested on nine OCTA scans from participants with CNV and comparisons of the algorithm's output to manual delineation showed good agreement. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

show abstract

Optical Coherence Tomography Angiography of Type 1 Neovascularization in Age-Related Macular Degeneration

Cited by 305 publications

References 25 publications

Advances in Optical Coherence Tomography Angiography

Advances in Optical Coherence Tomography Angiography

Regression-based algorithm for bulk motion subtraction in optical coherence tomography angiography

Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography

Contact Info

Product

Resources

About