scholarly journals A Novel Depth-Check Algorithm to Detect Macular Hole from Optical Coherence Tomography Images

2019 ◽  
Vol 8 (12) ◽  
pp. 2081-2085
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Hole ◽  
Dark Spot ◽  
Optical Coherence ◽  
Central Vision ◽  
Fiber Layer ◽  
Aged People ◽  
Automated Algorithm ◽  
Segmented Image ◽  
Check Algorithm

Macular hole is a tear or opening forms in the macula. A macular hole forms a dark spot in the central vision and affects central vision, in this case the vision will be blurry, wavy or distorted. Macular hole commonly affects aged people. Optical coherence tomography enables accurate diagnosis of macular hole. Existing algorithms are also done related to finding layers, but macular hole identification in an accurate manner is still a missing entity. Hence we proposed a fully automated algorithm named “depth-check” for the accurate macular hole detection. The proposed method has six modules in process. First it starts with preprocessing the image, followed by nerve fiber layer (NFL) segmentation. The segmented image is then processed using depth-check algorithm. It will help to identify the macular hole from the optical coherence tomography images. For evaluation, we applied the algorithm on the optical coherence tomography images with the subjects- Central serous chorioretinopathy (CSCR) and Pigment epithelial detachment (PED). By experimentation, it is observed that the proposed algorithm provides 91% accuracy.

scholarly journals Automated Detection of Macular Hole in Optical Coherence Tomography Images using Depth-Check Algorithm

2019 ◽  
Vol 9 (1) ◽  
pp. 105-108
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Hole ◽  
Automated Detection ◽  
Machine Learning Algorithms ◽  
Automated System ◽  
Optical Coherence ◽  
Central Vision ◽  
Fiber Layer ◽  
Aged People ◽  
Depth Feature

Macular hole is a tear or break in the macula. It is located in the center of the retina and affects central vision of aged people. Optical Coherence Tomography (OCT) enables accurate diagnosis of macular hole. Existing algorithms available to detect cysts and retinal layers, but identifying macular hole in an accurate manner is still a missing entity. Hence we propose an automated system for the accurate macular hole detection. The proposed system has six stages in process. The first stage starts with preprocessing the OCT image, then detecting Nerve Fiber Layer (NFL). The detected NFL layer is then processed and depth feature is extracted. Then the macular hole is detected in OCT images using our proposed system. The proposed system is evaluated with the healthy macula and macular hole OCT images. The proposed system is also compared with other machine learning algorithms. By experimentation results, the proposed algorithm provides 94% accuracy in finding macular hole.

scholarly journals Inner Retinal Layer and Outer Retinal Layer Findings after Macular Hole Surgery Assessed by means of Optical Coherence Tomography

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Maria Vittoria Cicinelli ◽  
Alessandro Marchese ◽  
Francesco Bandello ◽  
Michele Coppola
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Hole ◽  
Visual Outcome ◽  
Clinical Findings ◽  
Foveal Avascular Zone ◽  
Retinal Layer ◽  
Optical Coherence ◽  
Fiber Layer ◽  
Retinal Layers ◽  
Retinal Thinning

Aim. To summarize the spectrum of optical coherence tomography (OCT) and OCT angiography (OCTA) features after full-thickness macular hole (MH) repair surgery. Methods. A PubMed engine search was carried out using the terms “Macular Hole,” “Optical Coherence Tomography,” and “Optical Coherence Tomography Angiography.” All reports published in English up to October 2018, irrespective of their publication status, were included. Tomographic signs analyzed were divided according to the involved portion of the retina in “inner retinal layers” and “external retinal layers.” Despite predominantly involving the inner retinal layers, cystoid macular edema (CME) has been treated as a separate entity. Finally, report on vessel density (VD) changes and the foveal avascular zone (FAZ) area modifications have been included. Results. Different clinical findings can be observed on OCT of patients who underwent MH repair surgery. There is general consent that retinal thinning involving primarily the retinal nerve fiber layer and the ganglion cell layer takes place after surgery. In the postoperative period, the outermost retinal layers get progressively restored. Persistent defects in the ellipsoid zone or in the external limiting membrane correlate with worse postoperative visual outcome. OCTA has globally demonstrated that eyes after MH closure show a reduction in macular and paramacular VD and smaller FAZ areas, compared with control or fellow eyes. Conclusion. Clinicians should be aware of the most common tomographic findings to properly manage each condition. In addition, significant advantages for the postoperative application of OCT and OCTA include noninvasiveness, rapid and simple execution, repeatability, and precise measurements.

Retinal Optical Coherence Tomography Metrics Are Unchanged in Verubecestat Alzheimer’s Disease Clinical Trial but Correlate with Baseline Regional Brain Atrophy

2021 ◽  
Vol 79 (1) ◽  
pp. 275-287
Author(s):  
Robert C. Sergott ◽  
Annaswamy Raji ◽  
James Kost ◽  
Cyrille Sur ◽  
Saheeda Jackson ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Optical Coherence Tomography ◽  
Nerve Fiber ◽  
Retinal Nerve Fiber Layer ◽  
Brain Atrophy ◽  
Retinal Thickness ◽  
Optical Coherence ◽  
Fiber Layer ◽  
Nerve Fiber Layer ◽  
Retinal Nerve Fiber

Background: We performed exploratory analyses of retinal thickness data from a clinical trial of the AβPP cleaving enzyme (BACE) inhibitor verubecestat in patients with Alzheimer’s disease (AD). Objective: To evaluate: 1) possible retinal thickness changes following BACE inhibition; and 2) possible association between retinal thickness and brain atrophy. Methods: Retinal thickness was measured using spectral-domain optical coherence tomography in a 78-week randomized placebo-controlled trial of verubecestat in 1,785 patients with mild-to-moderate AD. Changes from baseline in retinal pigment epithelium, macular grid retinal nerve fiber layer, central subfield retinal thickness, and macular grid volume were evaluated for verubecestat versus placebo. Correlation analyses were performed to investigate the potential association between macular grid retinal nerve fiber layer and central subfield retinal thickness with brain volumetric magnetic resonance imaging (vMRI) data at baseline, as well as correlations for changes from baseline at Week 78 in patients receiving placebo. Results: Verubecestat did not significantly alter retinal thickness during the trial compared with placebo. At baseline, mean macular grid retinal nerve fiber layer and central subfield retinal thickness were weakly but significantly correlated (Pearson’s r values≤0.23, p-values < 0.01) with vMRI of several brain regions including whole brain, hippocampus, and thalamus. At Week 78, correlations between retinal thickness and brain vMRI changes from baseline in the placebo group were small and mostly not statistically significant. Conclusion: BACE inhibition by verubecestat was not associated with adverse effects on retinal thickness in patients with mild-to-moderate AD. Correlations between retinal thickness and brain volume were observed at baseline. Trial registration: Clinicaltrials.gov NCT01739348 (registered December 3, 2012; https://clinicaltrials.gov/ct2/show/NCT01739348).

scholarly journals En face image-based classification of diabetic macular edema using swept source optical coherence tomography

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Atsushi Fujiwara ◽  
Yuki Kanzaki ◽  
Shuhei Kimura ◽  
Mio Hosokawa ◽  
Yusuke Shiode ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Edema ◽  
Diabetic Macular Edema ◽  
Outer Nuclear Layer ◽  
Subretinal Fluid ◽  
Plexiform Layer ◽  
Optical Coherence ◽  
Fiber Layer ◽  
Swept Source ◽  
En Face

AbstractThis retrospective study was performed to classify diabetic macular edema (DME) based on the localization and area of the fluid and to investigate the relationship of the classification with visual acuity (VA). The fluid was visualized using en face optical coherence tomography (OCT) images constructed using swept-source OCT. A total of 128 eyes with DME were included. The retina was segmented into: Segment 1, mainly comprising the inner nuclear layer and outer plexiform layer, including Henle’s fiber layer; and Segment 2, mainly comprising the outer nuclear layer. DME was classified as: foveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 24), parafoveal cystoid space at Segment 1 and no fluid at Segment 2 (n = 25), parafoveal cystoid space at Segment 1 and diffuse fluid at Segment 2 (n = 16), diffuse fluid at both segments (n = 37), and diffuse fluid at both segments with subretinal fluid (n = 26). Eyes with diffuse fluid at Segment 2 showed significantly poorer VA, higher ellipsoid zone disruption rates, and greater central subfield thickness than did those without fluid at Segment 2 (P < 0.001 for all). These results indicate the importance of the localization and area of the fluid for VA in DME.

scholarly journals Birefringence measurement of the retinal nerve fiber layer by swept source polarization sensitive optical coherence tomography

2011 ◽  
Vol 19 (11) ◽  
pp. 10252 ◽  
Author(s):  
Badr Elmaanaoui ◽  
Bingqing Wang ◽  
Jordan C. Dwelle ◽  
Austin B. McElroy ◽  
Shuang S. Liu ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Nerve Fiber ◽  
Retinal Nerve Fiber Layer ◽  
Optical Coherence ◽  
Fiber Layer ◽  
Swept Source ◽  
Nerve Fiber Layer ◽  
Retinal Nerve Fiber
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