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Proceedings Paper

Decomposition and unresolvable component analysis of optical coherence tomography signals
Author(s): Panayiotis Ioannides; Charalambos Nicolaou; Costas Pitris
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Paper 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.

Paper Details

Date Published: 20 February 2006
PDF: 8 pages
Proc. SPIE 6079, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine X, 60791U (20 February 2006); doi: 10.1117/12.647478
Show Author Affiliations
Panayiotis Ioannides, Univ. of Cyprus (Cyprus)
Charalambos Nicolaou, Univ. of Cyprus (Cyprus)
Costas Pitris, Univ. of Cyprus (Cyprus)

Published in SPIE Proceedings Vol. 6079:
Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine X
Valery V. Tuchin; Joseph A. Izatt; James G. Fujimoto, Editor(s)

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