• Chinese Journal of Lasers
  • Vol. 45, Issue 3, 307016 (2018)
Fang Erxi*, Zou Wei, Hu Danfeng, and Wang Jiajun
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/CJL201845.0307016 Cite this Article Set citation alerts
    Fang Erxi, Zou Wei, Hu Danfeng, Wang Jiajun. Fluorescence Molecular Tomography Reconstruction Algorithm Based on Volume Compensation[J]. Chinese Journal of Lasers, 2018, 45(3): 307016 Copy Citation Text show less
    Flow chart of FMT reconstruction algorithm
    Fig. 1. Flow chart of FMT reconstruction algorithm
    Flow diagram of FMT reconstruction algorithm based on volume compensation
    Fig. 2. Flow diagram of FMT reconstruction algorithm based on volume compensation
    Image reconstruction of double target phantom. (a) Double target phantom; (b) triangular mesh for FEM
    Fig. 3. Image reconstruction of double target phantom. (a) Double target phantom; (b) triangular mesh for FEM
    Convergence performance of different clustering algorithm in terms of the cluster uniformity JC
    Fig. 4. Convergence performance of different clustering algorithm in terms of the cluster uniformity JC
    Convergence performance of different clustering algorithm in terms of the cluster uniformity Jb
    Fig. 5. Convergence performance of different clustering algorithm in terms of the cluster uniformity Jb
    Reconstructed results for double target phantom. Reconstructed results (a) before and (b) after volume compensation
    Fig. 6. Reconstructed results for double target phantom. Reconstructed results (a) before and (b) after volume compensation
    Reconstruction images before and after the volume compensation when adding Gaussian noises of (a) RSN=40 dB, (b) RSN =30 dB, and (c) RSN =20 dB
    Fig. 7. Reconstruction images before and after the volume compensation when adding Gaussian noises of (a) RSN=40 dB, (b) RSN =30 dB, and (c) RSN =20 dB
    Reconstruction results of triple target phantom. (a) Triple targets phantom; (b) mesh for FEM; reconstructed results (c) before and (d) after volume compensation
    Fig. 8. Reconstruction results of triple target phantom. (a) Triple targets phantom; (b) mesh for FEM; reconstructed results (c) before and (d) after volume compensation
    Parameterμaf /mm-1(left/right)μae /mm-1μam /mm-1μ'se/μ'smγη
    Anomaly0.04, 0.040.00250.0033.0-0.4310.16
    Background0.00250.00250.0033.0-0.4310.16
    Table 1. Optical parameters of forward model
    MethodMSE /10-4Relativeerror /10-2CPUtime /s
    Traditionalperturbation9.324.86624
    Proposedalgorithm7.613.82678
    Table 2. Quantitative evaluation of different methods for double target phantom (iterate 60 times)
    MethodMSE /10-4Relativeerror /10-2CPUtime /s
    Traditionalperturbation9.575.02624
    Proposedalgorithm7.753.94678
    Table 3. Quantitative evaluation of different methods for three target phantom (iterate 60 times)
    Fang Erxi, Zou Wei, Hu Danfeng, Wang Jiajun. Fluorescence Molecular Tomography Reconstruction Algorithm Based on Volume Compensation[J]. Chinese Journal of Lasers, 2018, 45(3): 307016
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