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Proceedings Paper

Mapping blood oxygen saturation using a multispectral imaging system
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Paper 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.

Paper Details

Date Published: 16 June 1997
PDF: 11 pages
Proc. SPIE 2976, Biomedical Sensing, Imaging, and Tracking Technologies II, (16 June 1997); doi: 10.1117/12.275535
Show Author Affiliations
Peter J. Dwyer, Wellman Labs. of Photomedicine and Massachusetts General Hospital (United States)
R. Rox Anderson M.D., Wellman Labs. of Photomedicine and Massachusetts General Hospital (United States)
Charles A. DiMarzio, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 2976:
Biomedical Sensing, Imaging, and Tracking Technologies II
Tuan Vo-Dinh; Robert A. Lieberman; Gerald G. Vurek; Abraham Katzir, Editor(s)

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