Automated segmentation of intramacular layers in Fourier domain optical coherence tomography structural images from normal subjects

Xusheng Zhang; Siavash Yousefi; Lin An; Ruikang K. Wang

doi:10.1117/1.JBO.17.4.046011

19 April 2012 Automated segmentation of intramacular layers in Fourier domain optical coherence tomography structural images from normal subjects

Xusheng Zhang, Siavash Yousefi, Lin An, Ruikang K. Wang

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Journal of Biomedical Optics, Vol. 17, Issue 4, 046011 (April 2012). https://doi.org/10.1117/1.JBO.17.4.046011

Abstract

Segmentation of optical coherence tomography (OCT) cross-sectional structural images is important for assisting ophthalmologists in clinical decision making in terms of both diagnosis and treatment. We present an automatic approach for segmenting intramacular layers in Fourier domain optical coherence tomography (FD-OCT) images using a searching strategy based on locally weighted gradient extrema, coupled with an error-removing technique based on statistical error estimation. A two-step denoising preprocess in different directions is also employed to suppress random speckle noise while preserving the layer boundary as intact as possible. The algorithms are tested on the FD-OCT volume images obtained from four normal subjects, which successfully identify the boundaries of seven physiological layers, consistent with the results based on manual determination of macular OCT images.

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Xusheng Zhang, Siavash Yousefi, Lin An, and Ruikang K. Wang "Automated segmentation of intramacular layers in Fourier domain optical coherence tomography structural images from normal subjects," Journal of Biomedical Optics 17(4), 046011 (19 April 2012). https://doi.org/10.1117/1.JBO.17.4.046011

Published: 19 April 2012

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