A novel technique for analyzing OCT signals is presented. The signal is separated in resolvable and diffuse components using wavelet decomposition and, subsequently, the characteristics of the diffuse part are evaluated with autoregressive analysis.
© 2005 Optical Society of America
P. Ioannides, C. Nicolaou, and C. Pitris, "Wavelet Decomposition and Unresolvable Component Analysis of Optical Coherence Tomography Signals," in Optical Coherence Tomography and Coherence Techniques II, W. Drexler, ed., Vol. 5861 of Proc. SPIE (Optical Society of America, 2005), paper MC1.
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