DocumentCode :
2072234
Title :
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
Link To Document :
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