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Livelayer: a semi-automatic software program for segmentation of layers and diabetic macular edema in optical coherence tomography images
- Source :
- Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021), Scientific Reports
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- Given the capacity of Optical Coherence Tomography (OCT) imaging to display symptoms of a wide variety of eye diseases and neurological disorders, the need for OCT image segmentation and the corresponding data interpretation is latterly felt more than ever before. In this paper, we wish to address this need by designing a semi-automatic software program for applying reliable segmentation of 8 different macular layers as well as outlining retinal pathologies such as diabetic macular edema. The software accommodates a novel graph-based semi-automatic method, called ''Livelayer'' which is designed for straightforward segmentation of retinal layers and fluids. This method is chiefly based on Dijkstra's Shortest Path (SPF) algorithm and the Live-wire function together with some preprocessing operations on the to-be-segmented images. The software is indeed suitable for obtaining detailed segmentation of layers, exact localization of clear or unclear fluid objects and the ground truth, demanding far less endeavor in comparison to a common manual segmentation method. It is also valuable as a tool for calculating the irregularity index in deformed OCT images. The amount of time (seconds) that Livelayer required for segmentation of ILM, IPL-INL, OPL-ONL was much less than that for the manual segmentation, 5s for the ILM (minimum) and 15.57s for the OPL-ONL (maximum). The unsigned errors (pixels) between the semi-automatically labeled and gold standard data was on average 2.7, 1.9, 2.1 for ILM, IPL-INL, OPL-ONL, respectively. The Bland-Altman plots indicated perfect concordance between the Livelayer and the manual algorithm and that they could be used interchangeably. The repeatability error was around one pixel for the OPL-ONL and < 1 for the other two. The dice scores for comparing the two algorithms and for obtaining the repeatability on segmentation of fluid objects were at acceptable levels.<br />The methodology in this version is the same as that of the other two versions, yet the contents have been fundamentally changed
- Subjects :
- Male
Retinal Ganglion Cells
genetic structures
Computer science
Science
Macular Edema
Retina
Article
03 medical and health sciences
0302 clinical medicine
Software
Optical coherence tomography
FOS: Electrical engineering, electronic engineering, information engineering
medicine
Humans
Preprocessor
Segmentation
Computer vision
Aged
Aged, 80 and over
Ground truth
Diabetic Retinopathy
Multidisciplinary
medicine.diagnostic_test
Pixel
business.industry
Image and Video Processing (eess.IV)
Image segmentation
Middle Aged
Electrical Engineering and Systems Science - Image and Video Processing
eye diseases
030221 ophthalmology & optometry
Medicine
Female
Artificial intelligence
sense organs
business
Biomedical engineering
Dijkstra's algorithm
Algorithms
Tomography, Optical Coherence
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....e7235342bf4154aa742e4527ab137f3c