A compound segmentation algorithm for anterior chamber angle in OCT image

Wei Wu, Yan Li, David Huang, Huilong Duan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Anterior chamber (AC) angle is a useful parameter in the investigation and diagnoses of angle closure glaucoma. And Optical coherence tomography (OCT) is a noninvasive and high-resolution technique for AC angle imaging. An accurate and automatic angle measurement should be based on a precise AC angle segmentation in OCT image. However, conventional segmentation algorithms can not achieve a well result because the algorithms are not robust to the dark shadow areas and speckle noise existing in the image. A new compound segmentation algorithm is proposed in this paper. The morphological method, intensity transform, gradient image, and ratio of foreground-to-background average intensity, etc., are applied in this new algorithm to improve the accuracy of segmentation. The experiments show that the presented algorithm can achieve a satisfactory segmentation result for the AC angle in OCT images.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages12-15
Number of pages4
DOIs
StatePublished - Dec 1 2011
Event2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China
Duration: Oct 15 2011Oct 17 2011

Publication series

NameProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume1

Other

Other2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
CountryChina
CityShanghai
Period10/15/1110/17/11

Keywords

  • Anterior chamber angle
  • Image segmentation
  • Optical coherence tomography

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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