Research Article
Morphological Component Analysis-Based Perceptual Medical Image Fusion Using Convolutional Sparsity-Motivated PCNN
Table 2
Objective evaluation for anatomical and functional image fusion.
| Metric | CSR | NSCT-MSF-PCNN | GFF | CSCS | LP-SR | Proposed |
| | 0.8065 | 0.8055 | 0.8064 | 0.8067 | 0.8060 | 0.8071 | | 0.6623 | 0.5171 | 0.6428 | 0.6597 | 0.6178 | 0.7081 | | 0.6560 | 0.4691 | 0.6621 | 0.5600 | 0.6591 | 0.8489 | | 48.9095 | 53.8469 | 50.0278 | 47.3761 | 54.4485 | 55.5928 |
| | 0.8058 | 0.8051 | 0.8167 | 0.8058 | 0.8056 | 0.8277 | | 0.6760 | 0.5373 | 1.2242 | 0.6503 | 0.6640 | 0.8370 | | 0.7265 | 0.4684 | 0.7894 | 0.6437 | 0.7130 | 0.8674 | | 59.8627 | 71.6602 | 56.7290 | 57.5273 | 73.7096 | 83.8645 |
| | 0.8064 | 0.8053 | 0.8063 | 0.8067 | 0.8061 | 0.8071 | | 0.6419 | 0.4994 | 0.6222 | 0.6417 | 0.6053 | 0.6914 | | 0.6459 | 0.4683 | 0.6592 | 0.5376 | 0.6476 | 0.8457 | | 48.4643 | 56.5707 | 50.2559 | 46.4979 | 55.2796 | 56.1166 |
| | 0.8060 | 0.8052 | 0.8158 | 0.8059 | 0.8056 | 0.8072 | | 0.7060 | 0.5567 | 1.2565 | 0.6608 | 0.6660 | 0.8220 | | 0.7331 | 0.4911 | 0.7967 | 0.6345 | 0.7229 | 0.8275 | | 59.4432 | 75.1043 | 59.4872 | 55.5982 | 71.4376 | 89.1413 |
| | 0.8039 | 0.8030 | 0.8055 | 0.8049 | 0.8035 | 0.8062 | | 0.5698 | 0.3652 | 0.6721 | 0.6271 | 0.5077 | 0.8241 | | 0.7380 | 0.5254 | 0.7510 | 0.6657 | 0.7431 | 0.8608 | | 35.3903 | 46.0797 | 49.6000 | 44.3124 | 45.5952 | 51.4487 |
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