TY - JOUR
T1 - Observing temperature fluctuations in humans using infrared imaging
AU - Liu, Wei Min
AU - Meyer, Joseph
AU - Scully, Christopher G.
AU - Elster, Eric
AU - Gorbach, Alexander M.
N1 - Funding Information:
This research was supported, in part, by the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health and the Naval Medical Research Center.
Funding Information:
The views expressed in this manuscript are those of the authors and do not reflect the official policy of the Department of the Army, Department of the Navy, the Department of Defense or the United States Government. This effort was supported (in part) by the U.S. Navy Bureau of Medicine and Surgery under the Medical Development Program and Office of Naval Research work unit number 602227D.0483.01.A0518 (MFEL). We are military service members (or other employees of the U.S. Government). This work was prepared as part of our official duties. Title 17 U.S.C. 105 provides the “Copyright protection under this title is not available for any work of the United States Government.” Title 17 U.S.C. 101 defines a U.S. Government work as a work prepared by a military service member or employee of the U.S. Government as part of that person’s official duties.
PY - 2011
Y1 - 2011
N2 - In this work we demonstrate that functional infrared imaging is capable of detecting low frequency temperature fluctuations in intact human skin and revealing spatial, temporal, spectral, and time-frequency based differences among three tissue classes: microvasculature, large sub-cutaneous veins, and the remaining surrounding tissue of the forearm. We found that large veins have stronger contractility in the range of 0.005-0.06 Hz compared to the other two tissue classes. Wavelet phase coherence and power spectrum correlation analysis show that microvasculature and skin areas without vessels visible by IR have high phase coherence in the lowest three frequency ranges (0.005-0.0095 Hz, 0.0095-0.02 Hz, and 0.02-0.06 Hz), whereas large veins oscillate independently.
AB - In this work we demonstrate that functional infrared imaging is capable of detecting low frequency temperature fluctuations in intact human skin and revealing spatial, temporal, spectral, and time-frequency based differences among three tissue classes: microvasculature, large sub-cutaneous veins, and the remaining surrounding tissue of the forearm. We found that large veins have stronger contractility in the range of 0.005-0.06 Hz compared to the other two tissue classes. Wavelet phase coherence and power spectrum correlation analysis show that microvasculature and skin areas without vessels visible by IR have high phase coherence in the lowest three frequency ranges (0.005-0.0095 Hz, 0.0095-0.02 Hz, and 0.02-0.06 Hz), whereas large veins oscillate independently.
KW - Infrared imaging
KW - Low frequency oscillation
KW - Skin microvasculature
KW - Thermoregulation
KW - Wavelet phase coherence
UR - http://www.scopus.com/inward/record.url?scp=83355161540&partnerID=8YFLogxK
U2 - 10.3166/qirt.8.21-36
DO - 10.3166/qirt.8.21-36
M3 - Article
AN - SCOPUS:83355161540
SN - 1768-6733
VL - 8
SP - 21
EP - 36
JO - Quantitative InfraRed Thermography Journal
JF - Quantitative InfraRed Thermography Journal
IS - 1
ER -