Correction method for influence of tissue scattering for sidestream dark-field oximetry using multicolor LEDs |
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Authors: | Email authorView authors OrcID profile" target="_blank">Tomohiro?KurataEmail authorView authors OrcID profile Shigeto?Oda Hiroshi?Kawahira Hideaki?Haneishi |
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Institution: | 1.Takano Co., Ltd,Kamiina-gun,Japan;2.Graduate School of Engineering,Chiba University,Chiba,Japan;3.Graduate School of Medicine,Chiba University,Chiba,Japan;4.Center for Frontier Medical Engineering,Chiba University,Chiba,Japan |
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Abstract: | We have previously proposed an estimation method of intravascular oxygen saturation \(({\rm SO}_2)\) from the images obtained by sidestream dark-field (SDF) imaging (we call it SDF oximetry) and we investigated its fundamental characteristics by Monte Carlo simulation. In this paper, we propose a correction method for scattering by the tissue and performed experiments with turbid phantoms as well as Monte Carlo simulation experiments to investigate the influence of the tissue scattering in the SDF imaging. In the estimation method, we used modified extinction coefficients of hemoglobin called average extinction coefficients (AECs) to correct the influence from the bandwidth of the illumination sources, the imaging camera characteristics, and the tissue scattering. We estimate the scattering coefficient of the tissue from the maximum slope of pixel value profile along a line perpendicular to the blood vessel running direction in an SDF image and correct AECs using the scattering coefficient. To evaluate the proposed method, we developed a trial SDF probe to obtain three-band images by switching multicolor light-emitting diodes and obtained the image of turbid phantoms comprised of agar powder, fat emulsion, and bovine blood-filled glass tubes. As a result, we found that the increase of scattering by the phantom body brought about the decrease of the AECs. The experimental results showed that the use of suitable values for AECs led to more accurate \({\rm SO}_2\) estimation. We also confirmed the validity of the proposed correction method to improve the accuracy of the \({\rm SO}_2\) estimation. |
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