Publication detail

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

FU, D. TONG, H. ZHENG, S. LUO, L. GAO, F. MINÁŘ, J.

Original Title

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

Type

journal article in Web of Science

Language

English

Original Abstract

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

Keywords

Retinal OCT images, Image processing, Morphological characterization, Feature quantification, Grade evaluation

Authors

FU, D.; TONG, H.; ZHENG, S.; LUO, L.; GAO, F.; MINÁŘ, J.

Released

22. 7. 2016

Publisher

BioMedical Engineering OnLine

Location

Spojené království Velké Británie a Severního Irska

ISBN

1475-925X

Periodical

BIOMED ENG ONLINE

Year of study

16

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

8

Pages count

8

URL

https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-016-0206-x

Full text in the Digital Library

http://hdl.handle.net/11012/195837

BibTex

@article{BUT127049,
  author="Dongmei {Fu} and Hejun {Tong} and Shuang {Zheng} and Ling {Luo} and Fulin {Gao} and Jiří {Minář}",
  title="Retinal status analysis method based on feature extraction and quantitative grading in OCT images",
  journal="BIOMED ENG ONLINE",
  year="2016",
  volume="16",
  number="1",
  pages="1--8",
  doi="10.1186/s12938-016-0206-x",
  issn="1475-925X",
  url="https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-016-0206-x"
}