Automated registration and enhanced processing of clinical optical coherence tomography angiography

Camino, Acner; Zhang, Miao; Dongye, Changlei; Pechauer, Alex D.; Hwang, Thomas S.; Bailey, Steven T.; Lujan, Brandon J.; Wilson, David J.; Huang, David; Jia, Yali

doi:10.21037/qims.2016.07.02

Cited by 38 publications

(27 citation statements)

References 18 publications

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“…Motion and projection artifact have previously been shown to interfere with automatic CNV detection software. 24,29–31 It is likely that further advances in projection artifact removal and motion correction will limit these artifacts, thus improving sensitivity and specificity of en face OCTA. 32–34 …”

Section: Discussionmentioning

confidence: 99%

Sensitivity and Specificity of OCT Angiography to Detect Choroidal Neovascularization

Faridi

Jia

Gao

et al. 2017

Ophthalmology Retina

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Purpose To determine the sensitivity and specificity of optical coherence tomography angiography (OCTA) in the detection of choroidal neovascularization (CNV) in age-related macular degeneration (AMD). Design Prospective case series. Subjects Prospective series of seventy-two eyes were studied, which included eyes with treatment-naive CNV due to AMD, non-neovascular AMD, and normal controls. Methods All eyes underwent OCTA with a spectral domain (SD) OCT (Optovue, Inc.). The 3D angiogram was segmented into separate en face views including the inner retinal angiogram, outer retinal angiogram, and choriocapillaris angiogram. Detection of abnormal flow in the outer retina served as candidate CNV with OCTA. Masked graders reviewed structural OCT alone, en face OCTA alone, and en face OCTA combined with cross-sectional OCTA for the presence of CNV. Main Outcome Measure The sensitivity and specificity of CNV detection compared to the gold standard of fluorescein angiography (FA) and OCT was determined for structural SD-OCT alone, en face OCTA alone, and with en face OCTA combined with cross-sectional OCTA. Results Of 32 eyes with CNV, both graders identified 26 true positives with en face OCTA alone, resulting in a sensitivity of 81.3%. Four of the 6 false negatives had large subretinal hemorrhage (SRH) and sensitivity improved to 94% for both graders if eyes with SRH were excluded. The addition of cross-sectional OCTA along with en face OCTA improved the sensitivity to 100% for both graders. Structural OCT alone also had a sensitivity of 100%. The specificity of en face OCTA alone was 92.5% for grader A and 97.5% for grader B. The specificity of structural OCT alone was 97.5% for grader A and 85% for grader B. Cross-sectional OCTA combined with en face OCTA had a specificity of 97.5% for grader A and 100% for grader B. Conclusions Sensitivity and specificity for CNV detection with en face OCTA combined with cross-sectional OCTA approaches that of the gold standard of FA with OCT, and it is better than en face OCTA alone. Structural OCT alone has excellent sensitivity for CNV detection. False positives from structural OCT can be mitigated with the addition of flow information with OCTA.

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Section: Discussionmentioning

confidence: 99%

Sensitivity and Specificity of OCT Angiography to Detect Choroidal Neovascularization

Faridi

Jia

Gao

et al. 2017

Ophthalmology Retina

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“…Improved algorithms that correct for focal OCT signal attenuation will improve vessel connectivity and contrast (Zhang et al, 2016b). Lastly, improved image processing methods, such as vesselness filters, are being developed to improve the connectivity of blood vessels on OCTA images (Camino, et al, 2016). …”

Section: 9 Limitations and Prospects Of Octamentioning

confidence: 99%

OCT angiography and visible-light OCT in diabetic retinopathy

et al. 2017

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In recent years, advances in optical coherence tomography (OCT) techniques have increased our understanding of diabetic retinopathy, an important microvascular complication of diabetes. OCT angiography is a non-invasive method that visualizes the retinal vasculature by detecting motion contrast from flowing blood. Visible-light OCT shows promise as a novel technique for quantifying retinal hypoxia by measuring the retinal oxygen delivery and metabolic rates. In this article, we discuss recent insights provided by these techniques into the vascular pathophysiology of diabetic retinopathy. The next milestones for these modalities are large multicenter studies to establish consensus on the most reliable and consistent outcome parameters to study diabetic retinopathy.

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“…Vesselness filters have been proven to be successful in enhancing vascular structures in OCTA [14][15][16]. We have applied it here to remove the background noise.…”

Section: Vesselness-based Denoisingmentioning

confidence: 99%

Automated detection of dilated capillaries on optical coherence tomography angiography

Dongye

Zhang

Hwang

et al. 2017

Biomed. Opt. Express

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Automated detection and grading of angiographic high-risk features in diabetic retinopathy can potentially enhance screening and clinical care. We have previously identified capillary dilation in angiograms of the deep plexus in optical coherence tomography angiography as a feature associated with severe diabetic retinopathy. In this study, we present an automated algorithm that uses hybrid contrast to distinguish angiograms with dilated capillaries from healthy controls and then applies saliency measurement to map the extent of the dilated capillary networks. The proposed algorithm agreed well with human grading.

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Automated registration and enhanced processing of clinical optical coherence tomography angiography

Cited by 38 publications

References 18 publications

Sensitivity and Specificity of OCT Angiography to Detect Choroidal Neovascularization

Sensitivity and Specificity of OCT Angiography to Detect Choroidal Neovascularization

OCT angiography and visible-light OCT in diabetic retinopathy

Automated detection of dilated capillaries on optical coherence tomography angiography

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