Research Article
A Medical Image Fusion Method Based on SIFT and Deep Convolutional Neural Network in the SIST Domain
Table 2
The objective evaluations of MRI-PET fusion in Figure
6.
| Method | Group 4 | Group 5 | Group 6 | SD | QAB/F | En | MI | SD | QAB/F | En | MI | SD | QAB/F | En | MI |
| PCNN | 35.62 | 0.59 | 3.76 | 0.46 | 41.05 | 0.62 | 4.11 | 0.38 | 31.12 | 0.58 | 3.89 | 0.62 | CSR | 37.21 | 0.65 | 3.88 | 0.50 | 43.56 | 0.72 | 4.25 | 0.42 | 33.93 | 0.65 | 3.96 | 0.71 | Shearlet | 37.64 | 0.67 | 4.13 | 0.59 | 44.95 | 0.78 | 4.35 | 0.48 | 34.52 | 0.69 | 4.31 | 0.76 | DCNN | 38.19 | 0.73 | 4.50 | 0.65 | 45.36 | 0.81 | 4.44 | 0.62 | 34.91 | 0.76 | 4.55 | 0.81 | Proposed | 39.42 | 0.84 | 4.65 | 0.70 | 47.21 | 0.86 | 4.63 | 0.63 | 35.68 | 0.83 | 4.87 | 0.85 |
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