Mapping blood oxygen saturation using a multispectral imaging system

Peter J. Dwyer; R. Rox Anderson M.D.; Charles A. DiMarzio

doi:10.1117/12.275535

16 June 1997 Mapping blood oxygen saturation using a multispectral imaging system

Peter J. Dwyer, R. Rox Anderson M.D., Charles A. DiMarzio

Proceedings Volume 2976, Biomedical Sensing, Imaging, and Tracking Technologies II; (1997) https://doi.org/10.1117/12.275535
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States

Abstract

Recent advances in imaging spectroscopy provide the opportunity for mapping the oxygen saturation of blood in skin with high accuracy, large spatial coverage, small spatial resolution, and high update rate. A four-wavelength algorithm, specifically designed to compute the oxygen saturation of hemoglobin, in vivo, from a set of narrow-band visible images was used to analyze various skin tissue disorders. To illustrate the spatial capability of this algorithm, mapping of the oxygen saturation of normal skin, hypoxic tissue and various skin lesions was performed using reflectance spectroscopy, demonstrating the spatial resolution of the images of blood oxygen in the tissues. To explore the accuracy of the algorithm, Monte-Carlo modeling was used to generate reflectivities of skin with known parameters. These reflectivities were used to evaluate the limiting effects of quantization error, photon noise, and finite filter bandwidth on the accuracy of the algorithm. In addition, a signal-to-noise analysis was performed to determine the illumination requirements. It is shown that accurate maps of blood oxygen can be produced with good spatial resolution.

Citation Download Citation

Peter J. Dwyer, R. Rox Anderson M.D., and Charles A. DiMarzio "Mapping blood oxygen saturation using a multispectral imaging system", Proc. SPIE 2976, Biomedical Sensing, Imaging, and Tracking Technologies II, (16 June 1997); https://doi.org/10.1117/12.275535

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