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Proceedings Paper

Automated extraction of 3D Doppler OCT signatures using a support vector machine
Author(s): Amardeep S. G. Singh; Tilman Schmoll; Rainer A. Leitgeb
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Paper 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.

Paper Details

Date Published: 1 June 2011
PDF: 6 pages
Proc. SPIE 8091, Optical Coherence Tomography and Coherence Techniques V, 80910J (1 June 2011); doi: 10.1117/12.889653
Show Author Affiliations
Amardeep S. G. Singh, Medical Univ. of Vienna (Austria)
Tilman Schmoll, Medical Univ. of Vienna (Austria)
Rainer A. Leitgeb, Medical Univ. of Vienna (Austria)


Published in SPIE Proceedings Vol. 8091:
Optical Coherence Tomography and Coherence Techniques V
Rainer A. Leitgeb; Brett E. Bouma, Editor(s)

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