Acta Optica Sinica, Volume. 40, Issue 1, 0111017(2020)
Optimization of Detection Angle for Pinhole X-Ray Fluorescence Computed Tomography
Fig. 3. Designs of multi-pinhole collimator and phantom. (a) Perpendicular view of lead plate containing three pinholes; (b) cross-section of lead plate containing one pinhole; (c) phantom 1; (d) phantom 2
Fig. 4. Energy spectrum of X-ray source and spectrum of X-ray fluorescence. (a) Energy spectrum of X-ray source; (b) spectrum of X-ray fluorescence
Fig. 5. Simulation results at different tube voltages. (a) Noise as a function of detection angle at different tube voltages; (b) RSN as a function of tube voltage at different detection angles
Fig. 6. Simulation results at different mass fractions of GNPs. (a) Noise as a function of detection angle at different mass fractions of GNPs; (b) RSN as a function of mass fraction of GNPs at different detection angles
Fig. 7. Simulation results at different diameters of ROI. (a) Noise as a function of detection angle at different diameters of ROI; (b) RSN as a function of diameter of ROI at different detection angles
Fig. 8. RSN at different detection angles. (a) RSN as a function of diameter of ROI at different detection angles; (b) RSN as a function of mass fraction of GNPs at different detection angles
Fig. 9. Reconstructed images. (a) Reconstructed image of phantom 2 at detection angle of 90°; (b) reconstructed image of phantom 2 at detection angle of 120°
Fig. 10. Mean value and RCN of ROI pixel values in reconstructed images. (a) Mean value of ROI pixel values in reconstructed images; (b) RCN at detection angles of 90° and 120°
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Jing Guo, Peng Feng, Luzhen Deng, Yan Luo, Peng He, Biao Wei. Optimization of Detection Angle for Pinhole X-Ray Fluorescence Computed Tomography[J]. Acta Optica Sinica, 2020, 40(1): 0111017
Category: Special Issue on Computational Optical Imaging
Received: Jul. 23, 2019
Accepted: Oct. 8, 2019
Published Online: Jan. 6, 2020
The Author Email: Feng Peng (coe-fp@cqu.edu.cn), He Peng (penghe@cqu.edu.cn)