Computerized detection of peripapillary chorioretinal atrophy by texture analysis

Author

Muramatsu, Chisako ; Hatanaka, Yuji ; Sawada, Akira ; Yamamoto, Tetsuya ; Fujita, Hiroshi

Author_Institution

Dept. of Intell. Image Inf., Gifu Univ., Gifu, Japan

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

5947

Lastpage

5950

Abstract

Presence of peripapillary chorioretinal atrophy (PPA) is considered one of the risk factors for glaucoma. It can be identified as bright regions in retinal fundus images, and therefore, incorrectly included as the part of the optic disc regions in the automated disc detection scheme. For potential risk assessment and use in improving optic disc segmentation, a computerized detection of PPA was investigated. By using texture analysis, the sensitivity for detecting the moderate to severe PPA regions in the test dataset was 73% with the specificity of 95%. The proposed method may be useful for identifying the cases with the PPA in retinal fundus images.

Keywords

biomedical optical imaging; eye; image texture; medical image processing; vision defects; automated disc detection; computerized detection; glaucoma; optic disc regions; optic disc segmentation; peripapillary chorioretinal atrophy; retinal fundus images; texture analysis; Accuracy; Biomedical optical imaging; Image color analysis; Optical imaging; Optical sensors; Retina; Training; Algorithms; Corneal Dystrophies, Hereditary; Glaucoma; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091470

Filename

6091470