• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 2, 392 (2022)
Yan-yan LI*, Hai-jun LUO1; 2; *;, Xia LUO1; 2;, Xin-yan FAN1; 2;, and Rui QIN1; 2;
Author Affiliations
  • 1. College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing 401331, China
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    DOI: 10.3964/j.issn.1000-0593(2022)02-0392-07 Cite this Article
    Yan-yan LI, Hai-jun LUO, Xia LUO, Xin-yan FAN, Rui QIN. Detection of Craniocerebral Hematoma by Array Scanning Sensitivity Based on Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 392 Copy Citation Text show less
    The simulation data and average ratio of finite element and Monte Carlo methods(a): Simulation comparison between finite element and Monte Carlo methods;(b): The average detection ratio and error of the simulation results
    Fig. 1. The simulation data and average ratio of finite element and Monte Carlo methods
    (a): Simulation comparison between finite element and Monte Carlo methods;(b): The average detection ratio and error of the simulation results
    Models of brain tissue(a): Normal model; (b): Simplified model
    Fig. 2. Models of brain tissue
    (a): Normal model; (b): Simplified model
    Single-source multi-detectors array
    Fig. 3. Single-source multi-detectors array
    Simulated photons travel through brain tissue(a): Diagram of simulation (normal brain tissue); (b): Distribution of light flux in different layers of brain tissue (normal brain tissue); (c): Diagram of simulation (brain tissue containing hematoma); (d): Distribution of light flux in different layers of brain tissue (brain tissue containing hematoma)
    Fig. 4. Simulated photons travel through brain tissue
    (a): Diagram of simulation (normal brain tissue); (b): Distribution of light flux in different layers of brain tissue (normal brain tissue); (c): Diagram of simulation (brain tissue containing hematoma); (d): Distribution of light flux in different layers of brain tissue (brain tissue containing hematoma)
    The location of the hematoma and detection sensitivity curves of partial azimuth arrays(a): Hematoma located at 0°; (b): Sensitivity curves of the hematoma at 0°; (c): Hematoma located at 30°; (d): Sensitivity curves of the hematoma at 30°; (e): Hematoma located at 60°; (f): Sensitivity curves of the hematoma at 60°Note: d is the source-detector distance
    Fig. 5. The location of the hematoma and detection sensitivity curves of partial azimuth arrays
    (a): Hematoma located at 0°; (b): Sensitivity curves of the hematoma at 0°; (c): Hematoma located at 30°; (d): Sensitivity curves of the hematoma at 30°; (e): Hematoma located at 60°; (f): Sensitivity curves of the hematoma at 60°
    Note: d is the source-detector distance
    Sensitivity curves of hematoma at different horizontal locations(a): Horizontal position of the hematoma; (b): Sensitivity curves at different horizontal positions;(c): Peak sensitivities at different detection points
    Fig. 6. Sensitivity curves of hematoma at different horizontal locations
    (a): Horizontal position of the hematoma; (b): Sensitivity curves at different horizontal positions;(c): Peak sensitivities at different detection points
    Sensitivity curves of hematomas at different depths(a): The depth of the hematoma; (b): Sensitivity curvesNote: The white area in Fig.7(a) indicates a hematoma
    Fig. 7. Sensitivity curves of hematomas at different depths
    (a): The depth of the hematoma; (b): Sensitivity curves
    Note: The white area in Fig.7(a) indicates a hematoma
    结构吸收系数
    /mm-1
    约化散射系数
    /mm-1
    折射率厚度/半径
    /mm
    头皮层0.019 00.641.43
    颅骨层0.013 90.841.47
    脑脊液层0.004 00.301.42
    灰质层0.019 20.672 61.44
    白质层0.020 81.010 71.434
    血肿1.50.31.44
    Table 1. Optical parameters of the head model at 850 nm
    Yan-yan LI, Hai-jun LUO, Xia LUO, Xin-yan FAN, Rui QIN. Detection of Craniocerebral Hematoma by Array Scanning Sensitivity Based on Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 392
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