Automated retinal pigment epithelium identification from optical coherence tomography images

Tapio Fabritius; Shuichi Makita; Risto Myllylä; Yoshiaki Yasuno

doi:10.1117/12.808543

20 February 2009 Automated retinal pigment epithelium identification from optical coherence tomography images

Tapio Fabritius, Shuichi Makita, Risto Myllylä, Yoshiaki Yasuno

Proceedings Volume 7168, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIII; 716827 (2009) https://doi.org/10.1117/12.808543
Event: SPIE BiOS, 2009, San Jose, California, United States

Abstract

Simple and robust method for identifying the retinal pigment epithelium (RPE) from optical coherence tomography images is demonstrated. At first, the maximum intensity value of each A-scans were determined and the depth position of those pixels are identified. The obtained 2D matrix is used as first estimation for the position of RPE. The erroneous pixel from the RPE is masked out and new approximation for them is calculated based on the neighbouring pixels. Finally, the obtained RPE matrix is smoothened. The RPE identification is used for separating the retina and choroid from optical coherence tomography images obtained by 830 nm spectral domain OCT. Both normal and ARMD patient eye were investigated to demonstrate the usability of that method. The calculation time for three dimensional data set (1024x450x137 pixels) was only 16 seconds and it identifies RPE reliably.

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Tapio Fabritius, Shuichi Makita, Risto Myllylä, and Yoshiaki Yasuno "Automated retinal pigment epithelium identification from optical coherence tomography images", Proc. SPIE 7168, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XIII, 716827 (20 February 2009); https://doi.org/10.1117/12.808543

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KEYWORDS

Optical coherence tomography

Image segmentation

Retina

Eye

Data processing

Polarization

3D image processing

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