Automatic Extraction of the Anterior Chamber Contour in OCT images

Author

Lin, Lifan ; Ju, Ying

Author_Institution

Dept. of Comput. Sci. & Technol., Xiamen Univ., Xiamen, China

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

423

Lastpage

426

Abstract

Building an anterior virtual model based on anterior OCT images plays an important role in angle-closure glaucoma pathology, clinic and treatment. According to special features of anterior OCT images and the structure of the anterior, a series of methods are proposed to implement automatic extraction of the anterior chamber contour in OCT images. These methods were applied to anterior OCT image sequences, and the results proved that different eye tissues could be segmented from the foreground image and the anterior chamber contour could be well extracted.

Keywords

biological tissues; eye; feature extraction; image segmentation; image sequences; medical image processing; optical tomography; patient treatment; angle-closure glaucoma pathology; anterior OCT image sequence; anterior chamber contour; anterior virtual model; automatic extraction; clinic; eye tissues; foreground image segmention; Blindness; Computer science; Cornea; Data mining; Diseases; Image segmentation; Information science; Iris; Lenses; Optical imaging; OCT; anterior chamber; image processing; otsu;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ISISE), 2009 Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6325-1

Electronic_ISBN

978-1-4244-6326-8

Type

conf

DOI

10.1109/ISISE.2009.140

Filename

5447262