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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119784" target="_blank" >RIV/00216305:26220/16:PU119784 - isvavai.cz</a>

Result on the web

<a href="https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-016-0206-x" target="_blank" >https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-016-0206-x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s12938-016-0206-x" target="_blank" >10.1186/s12938-016-0206-x</a>

Result language

angličtina

Original language name

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

Original language description

Background: 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 diagnosis

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20206 - Computer hardware and architecture

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BIOMED ENG ONLINE

ISSN

1475-925X

e-ISSN

—

Volume of the periodical

16

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

8

Pages from-to

1-8

UT code for WoS article

000379997900001

EID of the result in the Scopus database

2-s2.0-84979010836