Hui-hua KONG, Xiang-yuan LIAN, Ping CHEN, Jin-xiao PAN. Research on Color Characterization of Material Components Based on Spectral CT[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3612
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 11, 3612 (2021)
Fig. 1. The prior images
(a): The phantom of mouse thoracic caoity;(b): The preclinical mouse
(a): The phantom of mouse thoracic caoity;(b): The preclinical mouse
Fig. 2. The reconstruction images of mouse thoracic cavity by four algorithms
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC From top to bottom, the rows are 1st, 2nd and 3rd energy channel
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC From top to bottom, the rows are 1st, 2nd and 3rd energy channel
Fig. 3. PCA images of mouse thoracic cavity
(a): PCA-1; (b): PCA-2; (c): PCA-3; (d): The square of PCA-2; (e): The square of PCA-3
(a): PCA-1; (b): PCA-2; (c): PCA-3; (d): The square of PCA-2; (e): The square of PCA-3
Fig. 4. Color characterization of material components for mouse thoracic cavity by four reconstruction algorithms
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC
Fig. 5. The reconstruction images of preclinical mouse by four algorithms
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC From top to bottom, the rows are 1st, 6th and 13th energy channel
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC From top to bottom, the rows are 1st, 6th and 13th energy channel
Fig. 6. PCA images of preclinical mouse
(a): PCA-1; (b): PCA-2; (c): PCA-3; (d): The square of PCA-2; (e): The fourth pwoer of PCA-3
(a): PCA-1; (b): PCA-2; (c): PCA-3; (d): The square of PCA-2; (e): The fourth pwoer of PCA-3
Fig. 7. Color characterization of material components for preclinical mouse by four reconstruction algorithms
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC
(a): TV; (b): DL; (c): IPCC; (d): TV-DL-IPCC
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Table 1. Quantity evaluation of four algorithms for mouse thoracic cavity reconstruction in the three energy channels
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