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20 February 2006 Decomposition and unresolvable component analysis of optical coherence tomography signals
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Despite many efforts, some tissue changes, associated with diseases such as cancer, remain beyond the detection limit of OCT. A technique which would allow extraction of information regarding these unresolvable features from the OCT signal could prove a very powerful diagnostic tool. This manuscript presents such a procedure. It begins with the separation of the signal in resolvable and unresolvable components using wavelet decomposition. Subsequently, the power spectral density of the unresolvable part is determined with autoregressive spectral estimation. Analysis is then employed to extract information regarding the uresolvable, but diagnostically significant, scatterers in tissue. These characteristics could considerably improve the clinical utility of OCT.
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Panayiotis Ioannides, Charalambos Nicolaou, and Costas Pitris "Decomposition and unresolvable component analysis of optical coherence tomography signals", Proc. SPIE 6079, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine X, 60791U (20 February 2006);

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