Decomposition and unresolvable component analysis of optical coherence tomography signals

Panayiotis Ioannides; Charalambos Nicolaou; Costas Pitris

doi:10.1117/12.647478

20 February 2006 Decomposition and unresolvable component analysis of optical coherence tomography signals

Panayiotis Ioannides, Charalambos Nicolaou, Costas Pitris

Proceedings Volume 6079, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine X; 60791U (2006) https://doi.org/10.1117/12.647478
Event: SPIE BiOS, 2006, San Jose, California, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.647478

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