Automated detection of dilated capillaries on optical coherence tomography angiography

Dongye, Changlei; Zhang, Miao; Hwang, Thomas S.; Wang, Jie; Gao, Simon S.; Liu, Liang; Huang, David; Wilson, David J.; Jia, Yali

doi:10.1364/boe.8.001101

Cited by 16 publications

(9 citation statements)

References 24 publications

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“…A number of potential future directions of OCTA technology in DR have been investigated by recent publications. These include additional segmentation analysis [55][56][57], reduction of projection artefacts [56][57][58], and swept-source OCTA technology [23,[59][60][61].…”

Section: Future Directions Of Octa In Diabetic Retinopathymentioning

confidence: 99%

The diagnostic value of optical coherence tomography angiography in diabetic retinopathy: a systematic review

Gildea

2018

Int Ophthalmol

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Purpose Diabetic retinopathy (DR) is one of the leading causes of blindness worldwide. Accurate investigative tools are essential for the early diagnosis and monitoring of the disease. Optical coherence tomography angiography (OCTA) is a recently developed technology that enables visualisation of the retinal microvasculature. Methods A systematic review of the literature was performed to examine the diagnostic use of OCTA in DR to date. Medline, EMBASE, and Cochrane databases were searched to find relevant studies. Sixty-one original studies were selected for the review. Results and discussion OCTA has demonstrated the ability to identify microvascular features of DR such as microaneurysms, neovascularisation, and capillary non-perfusion. Furthermore, OCTA is enabling quantitative evaluation of the microvasculature of diabetic eyes. It has demonstrated the ability to detect early microvascular changes, in eyes with or without clinically evident DR. It has also been shown to detect progressive changes in the foveal avascular zone, and vascular perfusion density, with worsening severity of disease. It provides three-dimensional visualisation of the individual retinal vascular networks and is thereby enhancing our understanding of the role of the deeper vasculature in the pathogenesis of diabetic retinopathy and maculopathy. Conclusion However, limitations exist with current OCTA technology, in respect to the small field of view, image quality, projection artefact, and inaccuracies in analysis of the deeper vascular layers. While questions remain regarding its practical applicability in its present form, with continuing development and improvement of the technology, the diagnostic value of OCTA in diabetic retinopathy is likely to become evident.

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Section: Future Directions Of Octa In Diabetic Retinopathymentioning

confidence: 99%

The diagnostic value of optical coherence tomography angiography in diabetic retinopathy: a systematic review

Gildea

2018

Int Ophthalmol

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“…Then, a hybrid contrast map similar to the generated in Ref [51]. was performed as an initial diagnosis step to separate scans containing drusen from those without.…”

Section: Pre-processing Stepmentioning

confidence: 99%

Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography

Zhao¹,

Camino²,

Wang³

et al. 2017

Biomed. Opt. Express

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We introduce a method to automatically detect drusen in dry age-related macular degeneration (AMD) from optical coherence tomography with minimum need for layer segmentation. The method is based on the detection of drusen areas in C-scans at certain distances above the Bruch's membrane, circumventing the difficult task of pathologic retinal pigment epithelium segmentation. All types of drusen can be detected, including the challenging subretinal drusenoid deposits (pseudodrusen). The high sensitivity and accuracy demonstrated here shows its potential for detection of drusen onset in early AMD.

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“…20,21 It also allows visualizing vascular abnormality at specific depths, including superficial, deep, outer retina, and choriocapillaris plexuses, which is not possible in FA as a two-dimensional (2-D) modality. The ability of OCTA imaging in the visualization of vascular abnormality in different layers makes it a promising tool in detection and monitoring vascular changes in retinal disease such as DR. 15,[22][23][24][25][26] Macular ischemia or CNP regions as an early valuable biomarker is clear in OCTA superficial and deep plexus. [9][10][11] There are a few attempts to automatic quantification of CNP regions in literature.…”

Section: Introductionmentioning

confidence: 99%

Automatic segmentation of abnormal capillary nonperfusion regions in optical coherence tomography angiography images using marker-controlled watershed algorithm

2018

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Diabetic retinopathy (DR) is one of the most complications of diabetes. It is a progressive disease leading to significant vision loss in the patients. Abnormal capillary nonperfusion (CNP) regions are one of the important characteristics of DR increasing with its progression. Therefore, automatic segmentation and quantification of abnormal CNP regions can be helpful to monitor the patient's treatment process. We propose an automatic method for segmentation of abnormal CNP regions on the superficial and deep capillary plexuses of optical coherence tomography angiography (OCTA) images using the marker-controlled watershed algorithm. The proposed method has three main steps. In the first step, original images are enhanced using the vesselness filter and then foreground and background marker images are computed. In the second step, abnormal CNP region candidates are segmented using the marker-controlled watershed algorithm, and in the third step, the candidates are modeled using an undirected weighted graph and finally, by applying merging and removing procedures correct abnormal CNP regions are identified. The proposed method was evaluated on a dataset with 36 normal and diabetic subjects using the ground truth obtained by two observers. The results show the proposed method outperformed some of the state-of-the-art methods on the superficial and deep capillary plexuses according to the most important metrics.

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Automated detection of dilated capillaries on optical coherence tomography angiography

Cited by 16 publications

References 24 publications

The diagnostic value of optical coherence tomography angiography in diabetic retinopathy: a systematic review

The diagnostic value of optical coherence tomography angiography in diabetic retinopathy: a systematic review

Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography

Automatic segmentation of abnormal capillary nonperfusion regions in optical coherence tomography angiography images using marker-controlled watershed algorithm

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