TY - JOUR
T1 - Frequency-domain optical tomographic imaging of arthritic finger joints
AU - Hielscher, Andreas H.
AU - Kim, Hyun Keol
AU - Montejo, Ludguier D.
AU - Blaschke, Sabine
AU - Netz, Uwe J.
AU - Zwaka, Paul A.
AU - Illing, Gerd
AU - Müller, Gerhard A.
AU - Beuthan, Jrgen
N1 - Funding Information:
Manuscript received February 06, 2011; accepted March 08, 2011. Date of publication April 05, 2011; date of current version September 30, 2011. This work was supported in part by a grant from the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS-2R01 AR46255), which is part of the National Institutes of Health. Asterisk indicates corresponding author. *A. H. Hielscher is with the Departments of Biomedical Engineering, Radiology, and Electrical Engineering, Columbia University, New York, 10027 USA (e-mail: [email protected]).
PY - 2011/10
Y1 - 2011/10
N2 - We are presenting data from the largest clinical trial on optical tomographic imaging of finger joints to date. Overall we evaluated 99 fingers of patients affected by rheumatoid arthritis (RA) and 120 fingers from healthy volunteers. Using frequency-domain imaging techniques we show that sensitivities and specificities of 0.85 and higher can be achieved in detecting RA. This is accomplished by deriving multiple optical parameters from the optical tomographic images and combining them for the statistical analysis. Parameters derived from the scattering coefficient perform slightly better than absorption derived parameters. Furthermore we found that data obtained at 600 MHz leads to better classification results than data obtained at 0 or 300 MHz.
AB - We are presenting data from the largest clinical trial on optical tomographic imaging of finger joints to date. Overall we evaluated 99 fingers of patients affected by rheumatoid arthritis (RA) and 120 fingers from healthy volunteers. Using frequency-domain imaging techniques we show that sensitivities and specificities of 0.85 and higher can be achieved in detecting RA. This is accomplished by deriving multiple optical parameters from the optical tomographic images and combining them for the statistical analysis. Parameters derived from the scattering coefficient perform slightly better than absorption derived parameters. Furthermore we found that data obtained at 600 MHz leads to better classification results than data obtained at 0 or 300 MHz.
KW - Computer aided diagnostics
KW - light propagation in tissue
KW - optical tomography
KW - rheumatoid arthritis (RA)
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U2 - 10.1109/TMI.2011.2135374
DO - 10.1109/TMI.2011.2135374
M3 - Article
C2 - 21964730
AN - SCOPUS:79955380132
SN - 0278-0062
VL - 30
SP - 1725
EP - 1736
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 10
M1 - 5741853
ER -