2019
DOI: 10.1016/j.dib.2018.12.073
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Retinal layer parcellation of optical coherence tomography images: Data resource for multiple sclerosis and healthy controls

Abstract: This paper presents optical coherence tomography (OCT) images of the human retina and manual delineations of eight retinal layers. The data includes 35 human retina scans acquired on a Spectralis OCT system (Heidelberg Engineering, Heidelberg, Germany), 14 of which are healthy controls (HC) and 21 have a diagnosis of multiple sclerosis (MS). The provided data includes manually delineation of eight retina layers, which were independently reviewed and edited. The data presented in this article was used to valida… Show more

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Cited by 55 publications
(24 citation statements)
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“…The proposed method was validated on two publicly available data sets. The first data set [8] contains 35 (14 healthy controls (HC) and 21 subjects with multiple sclerosis (MS)) macula Spectralis OCT scans, of which nine surfaces are manually delineated. Each scan has 49 Bscans of size 496 × 1024.…”
Section: Methodsmentioning
confidence: 99%
“…The proposed method was validated on two publicly available data sets. The first data set [8] contains 35 (14 healthy controls (HC) and 21 subjects with multiple sclerosis (MS)) macula Spectralis OCT scans, of which nine surfaces are manually delineated. Each scan has 49 Bscans of size 496 × 1024.…”
Section: Methodsmentioning
confidence: 99%
“…Our first data set includes 35 macular OCT scans, publicly available from [42], acquired from a Spectralis OCT system (Heidelberg Engineering, Heidelberg, Germany). Twenty-one of the scans are diagnosed with multiple sclerosis (MS) and the remaining fourteen are healthy controls (HC).…”
Section: Retina Layer Surface Evaluationmentioning
confidence: 99%
“…The advantages and disadvantages of these approaches have been described elsewhere. [38][39][40] Some of the main technical challenges in these algorithms have been managing corrections for blood vessels within the layers and irregular boundaries across the quadrants sampled in the macular tissue. 40 Of all the retinal layers, the combined GCL/IPL has had overall strongest performance for identifying pathology of interest in MS. 38,41 These OCT observations of the GCL/IPL are consistent with postmortem analysis of RGC loss in the retinal tissue of MS patients.…”
Section: Segmentation and The Retinal Ganglion Cell Layermentioning
confidence: 99%