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Segmentation of Optic Disc and Cup-to-Disc Ratio Quantification Based on OCT Scans

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Retinal Optical Coherence Tomography Image Analysis

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

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Abstract

With optical nerve head centered OCT imaging, this special region can be visualized in 3-D, enabling detailed quantification of its structure. In this chapter, an automated algorithm is presented for optic disc segmentation in 3-D spectral domain optical coherence tomography, based on which the cup-to-disc ratio an important indicator of early glaucoma can be calculated.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing Tech University, Nanjing, China

    Menglin Wu

  2. Byers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, USA

    Theodore Leng

  3. Department of Radiology and Medicine (Biomedical Informatics Research) and Ophthalmology, Stanford University School of Medicine, Stanford, USA

    Luis de Sisternes & Daniel L. Rubin

  4. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

    Qiang Chen

Authors
  1. Menglin Wu
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  2. Theodore Leng
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  3. Luis de Sisternes
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  4. Daniel L. Rubin
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  5. Qiang Chen
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Corresponding author

Correspondence to Qiang Chen .

Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China

    Xinjian Chen

  2. School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, China

    Fei Shi

  3. Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, China

    Haoyu Chen

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Wu, M., Leng, T., de Sisternes, L., Rubin, D.L., Chen, Q. (2019). Segmentation of Optic Disc and Cup-to-Disc Ratio Quantification Based on OCT Scans. In: Chen, X., Shi, F., Chen, H. (eds) Retinal Optical Coherence Tomography Image Analysis. Biological and Medical Physics, Biomedical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-1825-2_8

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