Research Article
Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation
Table 1
Objective assessment of different methods on medical image fusion.
| The database | Images | Metrics | NSST-PAPCNN | CSR | MST-SR | NSCT-SR-PCNN | SR-PCNN | Proposed | RMSE (proposed) |
| The Whole Brain Atlas Of Harvard Medical School | CT/MR | EN | 3.1249 (1) | 2.9919 | 2.8641 | 3.0749 | 2.7759 | 3.0767 (2) | 0.0262 | | 0.4587 | 0.4427 | 0.4325 | 0.4801 (2) | 0.4408 | 0.4839 (1) | 0.0304 | MI | 0.8093 | 0.8079 | 0.7779 | 0.8333 (2) | 0.7396 | 0.8599 (1) | 0.0156 | SF | 27.8907 | 28.4779 (2) | 27.6372 | 27.9712 | 27.4416 | 29.3626 (1) | 0.6256 | AG | 6.9390 | 7.1364 (2) | 7.1117 | 6.9873 | 6.5669 | 7.1671 (1) | 0.0392 | SD | 110.4631 | 110.6766 (2) | 109.7036 | 109.4976 | 108.0036 | 111.0203 (1) | 0.3939 | MR-T1/MR-T2 | EN | 3.0751 | 3.0954 | 3.1193 | 3.1564 (2) | 2.9382 | 3.2436 (1) | 0.0593 | | 0.4223 | 0.4428 | 0.5345 (1) | 0.4327 | 0.4241 | 0.4926 (2) | 0.0587 | MI | 1.0879 | 1.0932 | 1.1119 | 1.1247 (2) | 1.0830 | 1.1675 (1) | 0.1132 | SF | 26.8878 | 27.8143 (1) | 27.4827 | 27.3243 | 22.6816 | 27.6630 (2) | 0.7533 | AG | 4.4525 | 4.9000 (2) | 4.8198 | 4.7360 | 3.1408 | 4.9541 (1) | 0.3882 | SD | 109.2559 | 109.3714 | 109.2907 | 109.0063 | 110.1740 (2) | 111.4005 (1) | 0.2773 | MR/PET | EN | 3.2575 | 3.1860 | 3.2732 (2) | 3.1620 | 3.1728 | 3.3962 (1) | 0.3524 | | 0.5213 | 0.5783 | 0.6148 (2) | 0.5216 | 0.6125 | 0.6621 (1) | 0.2436 | MI | 1.6716 (2) | 1.6604 | 1.6708 | 1.5385 | 1.6688 | 1.7078 (1) | 0.3849 | SF | 27.0508 | 29.2171 | 31.8184 (1) | 28.1990 | 29.5717 | 30.0488 (2) | 0.0968 | AG | 5.1704 | 6.3783 | 6.8126 (2) | 5.8611 | 6.5209 | 7.8436 (1) | 0.7054 | SD | 112.5116 | 112.5743 (2) | 111.8941 | 110.2727 | 111.9179 | 114.7089 (1) | 0.8578 | MR/SPECT | EN | 3.5580 | 3.5357 | 3.8857 (1) | 3.6305 | 3.4818 | 3.6897 (2) | 0.5361 | | 0.4561 | 0.5465 | 0.7211 (2) | 0.5564 | 0.5521 | 0.7426 (1) | 0.0389 | MI | 1.3484 | 1.3491 | 1.3511 | 1.3663 (2) | 1.3658 | 1.4261 (1) | 0.4157 | SF | 23.9815 | 25.2731 | 27.7746 (1) | 25.1314 | 24.6361 | 25.4938 (2) | 0.3981 | AG | 4.1747 | 4.7093 | 4.7542 | 4.8058 (2) | 4.5293 | 4.9342 (1) | 0.6432 | SD | 109.8246 (1) | 108.6124 | 109.4126 | 109.3390 | 108.6478 | 109.5151 (2) | 0.8745 |
| The Cancer Imaging Archive | CT/MR | EN | 2.3873 | 2.5588 (1) | 2.4780 | 2.5250 | 2.4138 | 2.5412 (2) | 0.0348 | | 0.2823 | 0.3242 | 0.3400 (2) | 0.3022 | 0.3083 | 0.3461 (1) | 0.0452 | MI | 0.4202 | 0.4998 | 0.5359 (2) | 0.5328 | 0.5302 | 0.5680 (1) | 0.0799 | SF | 23.5399 | 27.1924 (1) | 25.3864 | 24.4104 | 23.8955 | 25.5036 (2) | 0.5346 | AG | 5.5653 | 5.0692 | 5.5261 | 5.6596 (2) | 5.5149 | 5.6693 (1) | 0.0569 | SD | 101.6034 | 111.2382 (2) | 103.4071 | 102.6671 | 103.8596 | 112.3046 (1) | 0.4832 | MR-T1/MR-T2 | EN | 3.0059 | 3.0495 | 3.0649 (2) | 2.9463 | 2.9340 | 3.1736 (1) | 0.6203 | | 0.3183 | 0.4462 | 0.4928 (2) | 0.4385 | 0.4061 | 0.5103 (1) | 0.1108 | MI | 0.8798 | 1.0100 | 1.1441 (1) | 1.0069 | 0.9576 | 1.1064 (2) | 0.7673 | SF | 22.3876 | 26.9720 (2) | 26.0597 | 26.9641 | 26.1218 | 27.4718 (1) | 0.8564 | AG | 3.4087 | 5.0089 (2) | 4.9964 | 5.0070 | 5.0174 | 5.1650 (1) | 0.1694 | SD | 106.2062 | 108.2755 | 107.4503 | 109.2019 (2) | 108.0475 | 109.3821 (1) | 0.8521 |
|
|