TY - JOUR
T1 - Depth-resolved blood oxygen saturation assessment using spectroscopic common-path fourier domain optical coherence tomography
AU - Liu, Xuan
AU - Kang, Jin U.
N1 - Funding Information:
Manuscript received April 6, 2010; revised June 11, 2010; accepted June 30, 2010. Date of publication July 15, 2010; date of current version September 15, 2010. This work was supported in part by the National Institutes of Health under Grant BRP 1R01 EB, Grant 007969–01, and Grant R21 1R21NS063131–01A1. Asterisk indicates corresponding author. X. Liu is with the Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA (e-mail: [email protected]). *J. U. Kang is with the Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TBME.2010.2058109
PY - 2010/10
Y1 - 2010/10
N2 - Although spectroscopic optical coherence tomography (OCT) has been shown to be a promising method for measuring blood oxygen saturation with high-spatial resolution and accuracy, there are several technical issues that need to be addressed before it could become a practical method. In this letter, we have attempted to address two issues that could significantly improve the quantitative assessment of blood oxygen saturation level. First, we have implemented a spectral normalization technique to eliminate the spectral modulation induced by the wavelength- distance-dependent point spread function (PSF) of OCT's. Second,to reduce the spectral speckle noise due to the highly scattering blood, we have implemented a spatial low-pass filter to the 2-D OCT dataset consisting of spectra obtained at different lateral positions. We have assessed the effectiveness of these methods using common-pathOCTsystem. Results showed that we were able to extract unambiguous depth-resolved, SO2 -dependent spectroscopic information from 1-D and 2-D OCT images, which could be used to accurately assess the SO2 level.
AB - Although spectroscopic optical coherence tomography (OCT) has been shown to be a promising method for measuring blood oxygen saturation with high-spatial resolution and accuracy, there are several technical issues that need to be addressed before it could become a practical method. In this letter, we have attempted to address two issues that could significantly improve the quantitative assessment of blood oxygen saturation level. First, we have implemented a spectral normalization technique to eliminate the spectral modulation induced by the wavelength- distance-dependent point spread function (PSF) of OCT's. Second,to reduce the spectral speckle noise due to the highly scattering blood, we have implemented a spatial low-pass filter to the 2-D OCT dataset consisting of spectra obtained at different lateral positions. We have assessed the effectiveness of these methods using common-pathOCTsystem. Results showed that we were able to extract unambiguous depth-resolved, SO2 -dependent spectroscopic information from 1-D and 2-D OCT images, which could be used to accurately assess the SO2 level.
KW - Oxygen saturation
KW - Spectroscopic optical coherence tomography (SOCT)
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U2 - 10.1109/TBME.2010.2058109
DO - 10.1109/TBME.2010.2058109
M3 - Article
C2 - 20639176
AN - SCOPUS:77956916713
SN - 0018-9294
VL - 57
SP - 2572
EP - 2575
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 10 PART 2
ER -