Research of Contact Near-Infrared Diffuse Correlation Tomography Data Processing andCerebral Blood Flow Reconstruction
Zhang Xiaojuan1,2*, Li Zicheng1,3, Wei Jiahui1, Cao Xiangqian1, Shang Yu2
1(Department of Electronic Engineering, Taiyuan Institute of Technology, Taiyuan 030008,China) 2(School of Information and Communication Engineering, North University of China, Taiyuan 030051,China) 3(College of Physics and Electronic Engineering, Shanxi University, Taiyuan 030006, China)
Abstract：Near-infrared diffusecorrelationblood flow tomography can provide important information for the trend of tumor. In response to the drawback of large fluctuations and abnormal g1(τ) curve slopes in phantom and clinical tests, a continuous descent-threshold method was proposed to screen the g1(τ) curves and fit the slope of the g1(τ) curve by the N-order linear algorithm. In addition, to solve the “concave artifact” caused by ambient light in the BFI image, the slope was corrected by the adjusted matrix, and finally BFI reconstruction was realized by the Bregman-TV reconstruction algorithm. Furthermore, voxels at the bottom edge were removed to reduce the ill-condition of equations, because little amount of S-D can detect them. Phantom experiments verified that the “concave artifact” was eliminated in reconstructed BFI images. The edge of the quasi-solid cross-shaped phantom anomaly were sharp and the contrast of the second layer (depth 10-15 mm) was 0.77. Both the contrasts of two layers were above 3 for 500 mL/h current velocity tubular anomaly. Clinical testing revealed that the 95% confidence interval of the t-distribution for BFI differences (supine rest and 70° head-up tilt) in 20 volunteers was [1.10 cm2/s, 1.44 cm2/s], excluding zero. The median contrast ratio obtained through Bootstrap resampling was 1.42 (95% CI [1.35, 1.50]), which was significantly greater than 1. These findings collectively indicated that the NL-DCT system with g1(τ) correction improved the sensitivity of in-vivo tissue microhemodynamic detection, enabling more precise measurement of posture-induced BFI changes. The system exhibited excellent hemodynamic imaging and abnormality detection performance, establishing its potential as a novel diagnostic tool for localized perfusion-related diseases.
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