Paper
5 June 2008 Multi-spectral imaging of oxygen saturation
Author Affiliations +
Proceedings Volume 7022, Advanced Laser Technologies 2007; 702205 (2008) https://doi.org/10.1117/12.803905
Event: Advanced Laser Technologies 2007, 2007, Levi, Finland
Abstract
The system of multi-spectral imaging of oxygen saturation is an instrument that can record both spectral and spatial information about a sample. In this project, the spectral imaging technique is used for monitoring of oxygen saturation of hemoglobin in human tissues. This system can be used for monitoring spatial distribution of oxygen saturation in photodynamic therapy, surgery or sports medicine. Diffuse reflectance spectroscopy in the visible range is an effective and extensively used technique for the non-invasive study and characterization of various biological tissues. In this article, a short review of modeling techniques being currently in use for diffuse reflection from semi-infinite turbid media is presented. A simple and practical model for use with a real-time imaging system is proposed. This model is based on linear approximation of the dependence of the diffuse reflectance coefficient on relation between absorbance and reduced scattering coefficient. This dependence was obtained with the Monte Carlo simulation of photon propagation in turbid media. Spectra of the oxygenated and deoxygenated forms of hemoglobin differ mostly in the red area (520 - 600 nm) and have several characteristic points there. Thus four band-pass filters were used for multi-spectral imaging. After having measured the reflectance, the data obtained are used for fitting the concentration of oxygenated and free hemoglobin, and hemoglobin oxygen saturation.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tatiana A. Savelieva, Aleksander A. Stratonnikov, and Victor B. Loschenov "Multi-spectral imaging of oxygen saturation", Proc. SPIE 7022, Advanced Laser Technologies 2007, 702205 (5 June 2008); https://doi.org/10.1117/12.803905
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Cited by 2 scholarly publications.
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KEYWORDS
Oxygen

Tissues

Diffuse reflectance spectroscopy

Scattering

Imaging systems

Absorption

Monte Carlo methods

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