Retinal status analysis method based on feature extraction and quantitative grading in OCT images

Simple item page
dc.contributor.authorFu, Dongmeics
dc.contributor.authorTong, Hejuncs
dc.contributor.authorZheng, Shuangcs
dc.contributor.authorLuo, Lingcs
dc.contributor.authorGao, Fulincs
dc.contributor.authorMinář, Jiřícs
dc.coverage.issue1cs
dc.coverage.volume16cs
dc.date.accessioned2021-01-13T11:54:16Z
dc.date.available2021-01-13T11:54:16Z
dc.date.issued2016-07-22cs
dc.description.abstractBackground: Optical coherence tomography (OCT) is widely used in ophthalmology for viewing the morphology of the retina, which is important for disease detection and assessing therapeutic effect. The diagnosis of retinal diseases is based primarily on the subjective analysis of OCT images by trained ophthalmologists. This paper describes an OCT images automatic analysis method for computer-aided disease diagnosis and it is a critical part of the eye fundus diagnosis. Methods: This study analyzed 300 OCT images acquired by Optovue Avanti RTVue XR (Optovue Corp., Fremont, CA). Firstly, the normal retinal reference model based on retinal boundaries was presented. Subsequently, two kinds of quantitative methods based on geometric features and morphological features were proposed. This paper put forward a retinal abnormal grading decision-making method which was used in actual analysis and evaluation of multiple OCT images. Results: This paper showed detailed analysis process by four retinal OCT images with different abnormal degrees. The final grading results verified that the analysis method can distinguish abnormal severity and lesion regions. This paper presented the simulation of the 150 test images, where the results of analysis of retinal status showed that the sensitivity was 0.94 and specificity was 0.92.The proposed method can speed up diagnostic process and objectively evaluate the retinal status. Conclusions: This paper aims on studies of retinal status automatic analysis method based on feature extraction and quantitative grading in OCT images. The proposed method can obtain the parameters and the features that are associated with retinal morphology. Quantitative analysis and evaluation of these features are combined with reference model which can realize the target image abnormal judgment and provide a reference for disease diagnosisen
dc.formattextcs
dc.format.extent1-8cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationBIOMED ENG ONLINE. 2016, vol. 16, issue 1, p. 1-8.en
dc.identifier.doi10.1186/s12938-016-0206-xcs
dc.identifier.issn1475-925Xcs
dc.identifier.other127049cs
dc.identifier.urihttp://hdl.handle.net/11012/195837
dc.language.isoencs
dc.publisherBioMedical Engineering OnLinecs
dc.relation.ispartofBIOMED ENG ONLINEcs
dc.relation.urihttps://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-016-0206-xcs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1475-925X/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectRetinal OCT imagesen
dc.subjectImage processingen
dc.subjectMorphological characterizationen
dc.subjectFeature quantificationen
dc.subjectGrade evaluationen
dc.titleRetinal status analysis method based on feature extraction and quantitative grading in OCT imagesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-127049en
sync.item.dbtypeVAVen
sync.item.insts2021.01.13 12:54:16en
sync.item.modts2021.01.13 12:14:31en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
s129380160206x.pdf
Size:
4.29 MB
Format:
Adobe Portable Document Format
Description:
s129380160206x.pdf
Download
Collections
Ústav telekomunikací