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Tissue oximetry by diffusive reflective visible light spectroscopy: Comparison of algorithms and their robustness
Author(s) -
Nasseri Nassim,
Kleiser Stefan,
Wolf Ursula,
Wolf Martin
Publication year - 2018
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201700367
Subject(s) - imaging phantom , algorithm , robustness (evolution) , spectroscopy , materials science , penetration depth , biomedical engineering , computer science , biological tissue , optics , chemistry , physics , medicine , biochemistry , quantum mechanics , gene
It is essential to measure tissue oxygen saturation (StO 2 ) locally and in thin layers of tissue, for example, the bronchial mucosa, skin flaps and small bones. Visible light spectroscopy (VLS) with a shallow penetration depth is suitable method. Although several VLS algorithms have been developed and described, they have not yet been compared to each other. This hinders attempts to compare the clinical results obtained by different algorithms. To address this issue, we compared the algorithms of Harrison, Knoefel, Pittman‐Duling, Sato and our OxyVLS oximeter, which applies the algorithm from Wodick and Lübbers, in a liquid phantom with optical properties of human tissue. We generally observed considerable differences between the algorithms, which were StO 2 dependent. Exceptions were OxyVLS and Sato, showing a high level of agreement with negligible StO 2 dependency. In spite of the considerable deviation between the other algorithms, the difference of StO 2 between them in clinically normal StO 2 was <10%. We did not observe any dependency of the algorithms on hemoglobin content of the phantom or temperature.