Automatic detection of posterior subcapsular cataract opacity for cataract screening

Author

Li, Huiqi ; Lim, Joo Hwee ; Liu, Jiang ; Wong, Damon Wing Kee ; Foo, Yongfeng ; Sun, Ying ; Wong, Tien Yin

Author_Institution

Inst. for Infocomm Res., A*STAR, Singapore, Singapore

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

5359

Lastpage

5362

Abstract

Cataract is the leading cause of blindness and posterior subcapsular cataract (PSC) leads to significant visual impairment. An automatic approach for detecting PSC opacity in retro-illumination images is investigated. The features employed include intensity, edge, size and spatial location. The system was tested using 441 images. The automatic detection was compared with the human expert. The sensitivity and specificity are 82.6% and 80% respectively. The preliminary research indicates it is feasible to apply automatic detection in the clinical screening of PSC in the future.

Keywords

feature extraction; medical image processing; vision defects; automatic detection; cataract screening; posterior subcapsular cataract opacity; retro-illumination images; Detectors; Histograms; Humans; Image edge detection; Lenses; Noise; Pixel; Aged; Aged, 80 and over; Algorithms; Automation; Capsule Opacification; Humans; Image Interpretation, Computer-Assisted; Lens Capsule, Crystalline; Lighting; Middle Aged; Pupil;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626467

Filename

5626467