Danni Sun, Qibing Zhu, Min Huang. Evaluation of Line-Scan Imaging System's Ability to Detect Internal Defects in Tissue Using Improved Monte Carlo Simulation and Optical Density Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1215005
- Laser & Optoelectronics Progress
- Vol. 60, Issue 12, 1215005 (2023)
Fig. 1. Defective tissue model
Fig. 2. Schematic of line-scan virtual imaging system. (a) Line-scan imaging system; (b) line-scan schematic
Fig. 3. Intersection of photon and voxel boundary
Fig. 4. Comparison of differences between normal and damaged tissues by OD algorithm along same scan lines. (a) Normal tissue; (b) damage tissue
Fig. 5. Simulation results of different incident angles of linear light sources
Fig. 6. Relationship between diffuse reflectance and source-detector distance
Fig. 7. Relationship between source-detector distance and detection depth and photon average path length
Fig. 8. Optical density differential distribution images. (a) Small defect; (b) large defect
Fig. 9. CNR change of three defects at different depths
Fig. 10. Optical density difference curves of small defects with different depths
Fig. 11. Two-dimensional optical density difference of small defects at a depth of 1 mm
|
Table 1. Optical properties of defective tissue model
|
Table 2. Input parameters for IMC simulation of photon propagation
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20