接触式近红外漫射相关断层成像数据处理及脑血流重建研究

doi:10.3969/j.issn.0258-8021.2025.06.006

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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.

Key words： diffuse correlation tomography continuous descent-threshold method Nth-linear algorithm Bregman-TV reconstruction algorithm adjusted matrix

Received: 17 June 2024

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R318

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	Zhang Xiaojuan
	Li Zicheng
	Wei Jiahui
	Cao Xiangqian
	Shang Yu

Cite this article:

Zhang Xiaojuan,Li Zicheng,Wei Jiahui, et al. Research of Contact Near-Infrared Diffuse Correlation Tomography Data Processing andCerebral Blood Flow Reconstruction[J]. Chinese Journal of Biomedical Engineering, 2025, 44(6): 700-710.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2025.06.006 OR http://cjbme.csbme.org/EN/Y2025/V44/I6/700

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