DocumentCode :
3221845
Title :
A non-invasive spectral reflectance method for mapping blood oxygen saturation in wounds
Author :
Martinez, Luis
Author_Institution :
Inst. for Technol. Dev., Stennis Space Center, MS, USA
fYear :
2002
fDate :
16-17 Oct. 2002
Firstpage :
112
Lastpage :
116
Abstract :
Reflectance spectroscopy is a common technique used to analyze blood oxygen saturation in biological tissues. This study describes a non-invasive method for mapping blood oxygen saturation in wounds using reflectance measurements obtained from a hyperspectral imaging system. The maps illustrate changes in blood oxygen saturation with high spatial resolution. This allows observation into local blood oxygen supplies of tissue as opposed to common point measurement techniques such as pulse oximetry and optical fiber probing. To demonstrate this, an algorithm designed to calculate the blood oxygen saturation from narrow band reflectance images at 760 and 800 nm was used. The algorithm incorporates the contributions of absorption by oxy-(HbO2) and deoxy-hemoglobin (Hb) at the oxygen (O2) sensitive and O2 insensitive wavelength. Results of the algorithms performance are presented to demonstrate that reflectance measurements can be used to determine the amount of blood O2 saturation of a wound.
Keywords :
biomedical optical imaging; medical image processing; oximetry; proteins; reflectivity; spectral analysis; 760 nm; 800 nm; O2; algorithms performance; biomedical applications; blood oxygen saturation mapping; deoxyhemoglobin; high spatial resolution; hyperspectral imaging system; local blood oxygen supply; narrow band reflectance images; noninvasive spectral reflectance method; oxygen insensitive wavelength; oxygen sensitive wavelength; oxyhemoglobin; reflectance measurements; reflectance spectroscopy; wounds; Biological tissues; Blood; Hyperspectral imaging; Measurement techniques; Optical pulses; Pulse measurements; Reflectivity; Spatial resolution; Spectroscopy; Wounds;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st
Print_ISBN :
0-7695-1863-X
Type :
conf
DOI :
10.1109/AIPR.2002.1182263
Filename :
1182263
Link To Document :
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