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| Blood Oxygen Content Detection with Dual-Wavelength Near-Infrared Imaging |
| Zhu Lianghui, Zeng Maomao, He Yonghong* |
| (Institute of Biomedical Engineering Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055,Guangdong, China) |
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Abstract In order to image the distribution of blood oxygen content, a blood oxygen content detection system was developed by the near infrared imaging of dual wavelengths 760 nm and 850 nm. A new simulation experiment with indocyanine green and scatterers was conducted. First, we changed the concentration of milk ΔC and detected its optical density change (ΔOD). Then indocyanine green (ICG) was dissolved in milk which was diluted 40 times. With gradient dilution of ICG, a series of curves of ΔOD-Δc were obtained. We used a linear function to fit the curves and determined the resolution of the system according to the sum of squares due to error (SSE), root mean squared error (RMSE) and coefficient of determination (R2). Third, we changed the concentration of the scattering medium to study its influence on detection. Last, 30 healthy subjects were chosen to detect the spatial distribution of blood oxygen content and its dynamic changes. The results showed the absorption coefficient ratio of milk in the dual wavelength light was closed to 1∶1 and the ratio of ICG was 2.5∶1, therefore milk could simulate water, fat and pigment, and ICG could simulate deoxygenated hemoglobin. Furthermore, the system is able to identify the minimum change of the concentration of indocyanine green of 1.6×10-5 mg/mL. With the elevation of the scatters concentration, on one hand, the scope of the system dynamic response became large; on the other hand, the sensitivity of the system became low. Finally, the blood oxygen content decreased from 1 to 0.3±0.105 during the stage of tying wrist and then recovered to 0.97±0.018 after removing the rubber band. The experiments above demonstrated the potential of application for the system in detecting tissue blood oxygen.
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Received: 18 December 2015
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