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

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

doi:10.1117/12.889653

1 June 2011 Automated extraction of 3D Doppler OCT signatures using a support vector machine

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

Proceedings Volume 8091, Optical Coherence Tomography and Coherence Techniques V; 80910J (2011) https://doi.org/10.1117/12.889653
Event: European Conferences on Biomedical Optics, 2011, Munich, Germany

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.

Citation Download Citation

Amardeep S. G. Singh, Tilman Schmoll, and Rainer A. Leitgeb "Automated extraction of 3D Doppler OCT signatures using a support vector machine", Proc. SPIE 8091, Optical Coherence Tomography and Coherence Techniques V, 80910J (1 June 2011); https://doi.org/10.1117/12.889653

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