A Compound Segmentation Algorithm for Anterior Chamber Angle in OCT Image

摘要：

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 foregroundto-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.

关键词： Image segmentation Optical coherence tomography Anterior chamber angle

作者: Wei Wu Yan Li David Huang Huilong Duan

作者单位: College of Biomedical Engineering & Instrument Science Zhejiang University, The Key Laboratory of Bi Ophthalmology Oregon Health and Science University Portland, OR, USA, 97239

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 13-16

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）