scholarly journals Integrating Handcrafted and Deep Features for Optical Coherence Tomography Based Retinal Disease Classification

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 33771-33777 ◽  
Author(s):  
Xuechen Li ◽  
Linlin Shen ◽  
Meixiao Shen ◽  
Connor S. Qiu
Keyword(s):  
Optical Coherence Tomography ◽  
Retinal Disease ◽  
Disease Classification ◽  
Optical Coherence

scholarly journals Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yasmine Derradji ◽  
Agata Mosinska ◽  
Stefanos Apostolopoulos ◽  
Carlos Ciller ◽  
Sandro De Zanet ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Macular Degeneration ◽  
Vision Loss ◽  
Retinal Pigment ◽  
Retinal Disease ◽  
Age Related Macular Degeneration ◽  
Retinal Layer ◽  
Optical Coherence ◽  
Age Related ◽  
Layer Segmentation

AbstractAge-related macular degeneration (AMD) is a progressive retinal disease, causing vision loss. A more detailed characterization of its atrophic form became possible thanks to the introduction of Optical Coherence Tomography (OCT). However, manual atrophy quantification in 3D retinal scans is a tedious task and prevents taking full advantage of the accurate retina depiction. In this study we developed a fully automated algorithm segmenting Retinal Pigment Epithelial and Outer Retinal Atrophy (RORA) in dry AMD on macular OCT. 62 SD-OCT scans from eyes with atrophic AMD (57 patients) were collected and split into train and test sets. The training set was used to develop a Convolutional Neural Network (CNN). The performance of the algorithm was established by cross validation and comparison to the test set with ground-truth annotated by two graders. Additionally, the effect of using retinal layer segmentation during training was investigated. The algorithm achieved mean Dice scores of 0.881 and 0.844, sensitivity of 0.850 and 0.915 and precision of 0.928 and 0.799 in comparison with Expert 1 and Expert 2, respectively. Using retinal layer segmentation improved the model performance. The proposed model identified RORA with performance matching human experts. It has a potential to rapidly identify atrophy with high consistency.

scholarly journals Application of Optical Coherence Tomography Angiography to Retinal Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-2 ◽  
Author(s):  
Talisa E. de Carlo ◽  
Nadia K. Waheed ◽  
Jayanth Sridhar ◽  
Daniela Ferrara
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence Tomography Angiography ◽  
Retinal Disease ◽  
Optical Coherence

scholarly journals Optical Coherence Tomography Angiography Imaging in Inherited Retinal Diseases

2019 ◽  
Vol 8 (12) ◽  
pp. 2078 ◽  
Author(s):  
Ong ◽  
Patel ◽  
Singh
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence Tomography Angiography ◽  
Imaging Modality ◽  
Retinal Disease ◽  
Macular Dystrophy ◽  
Retinal Diseases ◽  
Optical Coherence ◽  
Inherited Retinal Dystrophies ◽  
Retinal Dystrophies ◽  
Powerful Research Tool

Optical coherence tomography angiography (OCTA) is a novel, noninvasive imaging modality that allows depth-resolved imaging of the microvasculature in the retina and the choroid. It is a powerful research tool to study the pathobiology of retinal diseases, including inherited retinal dystrophies. In this review, we provide an overview of the evolution of OCTA technology, compare the specifications of various OCTA devices, and summarize key findings from published OCTA studies in inherited retinal dystrophies including retinitis pigmentosa, Stargardt disease, Best vitelliform macular dystrophy, and choroideremia. OCTA imaging has provided new data on characteristics of these conditions and has contributed to a deeper understanding of inherited retinal disease.

scholarly journals Optical coherence tomography in pediatric patients: a clinical review

2020 ◽  
Vol 12 ◽  
pp. 251584142090461
Author(s):  
Bradley S. Gundlach ◽  
Irena Tsui
Keyword(s):  
Optical Coherence Tomography ◽  
Normative Data ◽  
Pediatric Patients ◽  
Normal Development ◽  
Imaging Modality ◽  
Retinal Disease ◽  
Optical Coherence ◽  
Retinal Dystrophies ◽  
Macular Diseases ◽  
Tomography Data

Optical coherence tomography has improved the ophthalmic clinical examination due to its ability to more accurately characterize pathology of the eye. Optical coherence tomography is now an integral imaging modality for many adult diseases of the retina and is a ubiquitous part of a retinal practice. However, although its use in adults is well recognized, the adoption of optical coherence tomography in pediatric patients may be undervalued as macular diseases in children are relatively uncommon. Recent technological advancements have made optical coherence tomography scans quicker and more precise, generating normative data and leading to more widespread use in children. In this review article, we discuss how pediatric optical coherence tomography data can be used to understand normal development, as well as diagnose and monitor retinal disease. In particular, we highlight clinical optical coherence tomography findings of several pediatric retinal conditions, including retinopathy of prematurity, congenital infections, retinal dystrophies, and phakomatoses such as neurofibromatosis.

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