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Quantitative comparison of analysis methods for spectroscopic optical coherence tomography: comment
Author(s) -
Maciej Kraszewski,
Michał Trojanowski,
Marcin R. Strąkowski
Publication year - 2014
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.5.003023
Subject(s) - short time fourier transform , optical coherence tomography , oxygen saturation , fourier transform , optics , coherence (philosophical gambling strategy) , interferometry , materials science , gaussian , absorption (acoustics) , computer science , biomedical engineering , physics , fourier analysis , oxygen , medicine , quantum mechanics
In a recent paper by Bosschaart et al. [Biomed. Opt. Express 4, 2570 (2013)] various algorithms of time-frequency signal analysis have been tested for their performance in blood analysis with spectroscopic optical coherence tomography (sOCT). The measurement of hemoglobin concentration and oxygen saturation based on blood absorption spectra have been considered. Short time Fourier transform (STFT) was found as the best method for the measurement of blood absorption spectra. STFT was superior to other methods, such as dual window Fourier transform. However, the algorithm proposed by Bosschaart et al. significantly underestimates values of blood oxygen saturation. In this comment we show that this problem can be solved by thorough design of STFT algorithm. It requires the usage of a non-gaussian shape of STFT window that may lead to an excellent reconstruction of blood absorption spectra from OCT interferograms. Our study shows that sOCT can be potentially used for estimating oxygen saturation of blood with the accuracy below 1% and the spatial resolution of OCT image better than 20 μm.

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