Open AccessScatterer size-based analysis of optical coherence tomography images using spectral estimation techniques
Author(s) -
Andreas Kartakoullis,
Evgenia Bousi,
Costas Pitris
Publication year - 2010
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.18.009181
Subject(s) - optical coherence tomography , optics , autoregressive model , spectral imaging , spectral density estimation , coherence (philosophical gambling strategy) , computer science , sample (material) , artificial intelligence , sensitivity (control systems) , cluster analysis , pattern recognition (psychology) , mathematics , physics , statistics , fourier transform , mathematical analysis , thermodynamics , electronic engineering , engineering
A novel spectral analysis technique of OCT images is demonstrated in this paper for classification and scatterer size estimation. It is based on SOCT autoregressive spectral estimation techniques and statistical analysis. Two different statistical analysis methods were applied to OCT images acquired from tissue phantoms, the first method required prior information on the sample for variance analysis of the spectral content. The second method used k-means clustering without prior information for the sample. The results are very encouraging and indicate that the spectral content of OCT signals can be used to estimate scatterer size and to classify dissimilar areas in phantoms and tissues with sensitivity and specificity of more than 90%.