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Proceedings Paper

Detection of blood oxygen level by noninvasive passive spectral imaging of skin
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Paper Abstract

A compact optical hyperspectral imager that can detect both spectral and polarization signatures was used for passive noninvasive imaging of human skin. This vibration-insensitive imager uses an acousto-optic tunable filter (AOTF) as a spectral selection element and an electronically tunable liquid crystal variable retarder (LCVR) as a polarization device. Such an imager is ideally suited to provide both agile spectral and polarization signatures and can be readily used for real time in vivo medical imaging applications. Operation of this imager and image acquisition is fully computer controlled. This imager covers visible to near-infrared (VNIR) region from 400 to 800 nm with a 10 nm spectral resolution at 600 nm and uses a TeO2 AOTF with a 15×15 mm2 linear aperture and a 4.2° angular aperture. At each wavelength 640×480 images with two orthogonal polarization are captured and a total of 41 spectral images are collected to form an image cube. A commercial Si CCD camera was used along with off-the-shelf lenses, mirrors and irises. We carried out experiments with a human subject and controlled the blood perfusion in the individual arm and finger by using a pressure cuff and a rubber band, respectively. Images were captured by illuminating the subject with a white light lamp source and imaging it from a distance. When the hyperspectral image analysis was performed we could observe the effects of skin deoxygenation. In this paper we will described our instrument, the experimental setup, the images obtained and the analysis results.

Paper Details

Date Published: 8 February 2008
PDF: 8 pages
Proc. SPIE 6842, Photonic Therapeutics and Diagnostics IV, 68420C (8 February 2008); doi: 10.1117/12.768708
Show Author Affiliations
Neelam Gupta, Army Research Lab. (United States)
Jessica C. Ramella-Roman, The Catholic Univ. of America (United States)


Published in SPIE Proceedings Vol. 6842:
Photonic Therapeutics and Diagnostics IV
Kenton W. Gregory; Guillermo J. Tearney; Reza S. Malek; Nikiforos Kollias; Bernard Choi; Haishan Zeng; Brian Jet-Fei Wong; Justus F. R. Ilgner; Henry Hirschberg; Steen J. Madsen, Editor(s)

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