Fluorescence Molecular Tomography Reconstruction Algorithm Based on Volume Compensation

Fang Erxi; Zou Wei; Hu Danfeng; Wang Jiajun

doi:10.3788/CJL201845.0307016

Chinese Journal of Lasers, Volume. 45, Issue 3, 307016(2018)

Fluorescence Molecular Tomography Reconstruction Algorithm Based on Volume Compensation

Fang Erxi^*, Zou Wei, Hu Danfeng, and Wang Jiajun

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[in Chinese]

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Figures & Tables(11)

Fig. 1. Flow chart of FMT reconstruction algorithm

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Fig. 2. Flow diagram of FMT reconstruction algorithm based on volume compensation

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Fig. 3. Image reconstruction of double target phantom. (a) Double target phantom; (b) triangular mesh for FEM

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Fig. 4. Convergence performance of different clustering algorithm in terms of the cluster uniformity JC

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Fig. 5. Convergence performance of different clustering algorithm in terms of the cluster uniformity Jb

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Fig. 6. Reconstructed results for double target phantom. Reconstructed results (a) before and (b) after volume compensation

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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

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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

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Table 1. Optical parameters of forward model
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Table 1. Optical parameters of forward model
Parameter μ_af /mm^-1(left/right) μ_ae /mm^-1 μ_am /mm^-1 μ'_se/μ'_sm γ η
Anomaly 0.04, 0.04 0.0025 0.003 3.0 -0.431 0.16
Background 0.0025 0.0025 0.003 3.0 -0.431 0.16

Table 2. Quantitative evaluation of different methods for double target phantom (iterate 60 times)
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Table 2. Quantitative evaluation of different methods for double target phantom (iterate 60 times)
Method MSE /10^-4 Relativeerror /10^-2 CPUtime /s
Traditionalperturbation 9.32 4.86 624
Proposedalgorithm 7.61 3.82 678

Table 3. Quantitative evaluation of different methods for three target phantom (iterate 60 times)
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Table 3. Quantitative evaluation of different methods for three target phantom (iterate 60 times)
Method MSE /10^-4 Relativeerror /10^-2 CPUtime /s
Traditionalperturbation 9.57 5.02 624
Proposedalgorithm 7.75 3.94 678

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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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Paper Information

Special Issue:

Received: Aug. 16, 2017

Accepted: --

Published Online: Mar. 6, 2018

The Author Email: Erxi Fang (fangerxi@suda.edu.cn)

DOI:10.3788/CJL201845.0307016

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Optical parameters of forward model

Table 1. Optical parameters of forward model

Table 2. Quantitative evaluation of different methods for double target phantom (iterate 60 times)

Table 2. Quantitative evaluation of different methods for double target phantom (iterate 60 times)

Table 3. Quantitative evaluation of different methods for three target phantom (iterate 60 times)

Table 3. Quantitative evaluation of different methods for three target phantom (iterate 60 times)