Automated extraction of 3D Doppler OCT signatures using a support vector machine

Amardeep S.G. Singh; Tilman Schmoll; Rainer A. Leitgeb

doi:10.1364/ECBO.2011.80910J

Optical Coherence Tomography and Coherence Techniques V
Proceedings of SPIE-OSA Biomedical Optics (Optica Publishing Group, 2011),
paper 80910J
•https://doi.org/10.1364/ECBO.2011.80910J

Automated extraction of 3D Doppler OCT signatures using a support vector machine

Amardeep S.G. Singh, Tilman Schmoll, and Rainer A. Leitgeb

European Conference on Biomedical Optics 2011

Munich Germany
22–26 May 2011
ISBN: 9780819486882

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A. S. G. Singh, T. Schmoll, and R. A. Leitgeb, "Automated extraction of 3D Doppler OCT signatures using a support vector machine," in Optical Coherence Tomography and Coherence Techniques V, R. Leitgeb and B. Bouma, eds., Vol. 8091 of Proceedings of SPIE-OSA Biomedical Optics (Optica Publishing Group, 2011), paper 80910J.

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Abstract

We present a method for the automated extraction of Doppler OCT flow information by using a support vector machine that combines different features for classification. We employ histogram equalization that makes it possible to distinguish vessels from bulk tissue by texture analysis. This method is particularly applicable to settings with significant phase noise as it is more robust to multiple scattering components than simple threshold-based methods.

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