Spectroscopy and Spectral Analysis, Volume. 42, Issue 2, 392(2022)
Detection of Craniocerebral Hematoma by Array Scanning Sensitivity Based on Near Infrared Spectroscopy
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
Fig. 2. Models of brain tissue
(a): Normal model; (b): Simplified model
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)
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:
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
Fig. 7. Sensitivity curves of hematomas at different depths
(a): The depth of the hematoma; (b): Sensitivity curves
Note: The white area in
|
Get Citation
Copy Citation Text
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
Category: Research Articles
Received: Dec. 2, 2020
Accepted: Feb. 23, 2021
Published Online: Apr. 2, 2022
The Author Email: LI Yan-yan (877176124@qq.com)