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Automated layer segmentation of optical coherence tomography images.

Publication ,  Journal Article
Lu, S; Cheung, CY-L; Liu, J; Lim, JH; Leung, CK-S; Wong, TY
Published in: IEEE Trans Biomed Eng
October 2010

Under the framework of computer-aided diagnosis, optical coherence tomography (OCT) has become an established ocular imaging technique that can be used in glaucoma diagnosis by measuring the retinal nerve fiber layer thickness. This letter presents an automated retinal layer segmentation technique for OCT images. In the proposed technique, an OCT image is first cut into multiple vessel and nonvessel sections by the retinal blood vessels that are detected through an iterative polynomial smoothing procedure. The nonvessel sections are then filtered by a bilateral filter and a median filter that suppress the local image noise but keep the global image variation across the retinal layer boundary. Finally, the layer boundaries of the filtered nonvessel sections are detected, which are further classified to different retinal layers to determine the complete retinal layer boundaries. Experiments over OCT for four subjects show that the proposed technique segments an OCT image into five layers accurately.

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Published In

IEEE Trans Biomed Eng

DOI

EISSN

1558-2531

Publication Date

October 2010

Volume

57

Issue

10

Start / End Page

2605 / 2608

Location

United States

Related Subject Headings

  • Tomography, Optical Coherence
  • Retinal Vessels
  • Retina
  • Optic Disk
  • Image Processing, Computer-Assisted
  • Humans
  • Diagnosis, Computer-Assisted
  • Biomedical Engineering
  • Algorithms
  • 4603 Computer vision and multimedia computation
 

Citation

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Lu, S., Cheung, C.-L., Liu, J., Lim, J. H., Leung, C.-S., & Wong, T. Y. (2010). Automated layer segmentation of optical coherence tomography images. IEEE Trans Biomed Eng, 57(10), 2605–2608. https://doi.org/10.1109/TBME.2010.2055057
Lu, Shijian, Carol Yim-lui Cheung, Jiang Liu, Joo Hwee Lim, Christopher Kai-shun Leung, and Tien Yin Wong. “Automated layer segmentation of optical coherence tomography images.IEEE Trans Biomed Eng 57, no. 10 (October 2010): 2605–8. https://doi.org/10.1109/TBME.2010.2055057.
Lu S, Cheung CY-L, Liu J, Lim JH, Leung CK-S, Wong TY. Automated layer segmentation of optical coherence tomography images. IEEE Trans Biomed Eng. 2010 Oct;57(10):2605–8.
Lu, Shijian, et al. “Automated layer segmentation of optical coherence tomography images.IEEE Trans Biomed Eng, vol. 57, no. 10, Oct. 2010, pp. 2605–08. Pubmed, doi:10.1109/TBME.2010.2055057.
Lu S, Cheung CY-L, Liu J, Lim JH, Leung CK-S, Wong TY. Automated layer segmentation of optical coherence tomography images. IEEE Trans Biomed Eng. 2010 Oct;57(10):2605–2608.

Published In

IEEE Trans Biomed Eng

DOI

EISSN

1558-2531

Publication Date

October 2010

Volume

57

Issue

10

Start / End Page

2605 / 2608

Location

United States

Related Subject Headings

  • Tomography, Optical Coherence
  • Retinal Vessels
  • Retina
  • Optic Disk
  • Image Processing, Computer-Assisted
  • Humans
  • Diagnosis, Computer-Assisted
  • Biomedical Engineering
  • Algorithms
  • 4603 Computer vision and multimedia computation