Research Article
MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features
Table 1
Quantitative measures for fused PET-MRI images.
| Scenario | Techniques | Entropy [29] | MI [29] | SSIM [30] | Xydeas and Petrovic [31] | Piella [32] |
| Normal brain | DWT [12] | 5.403 | 1.6607 | 0.6083 | 0.4944 | 0.7558 | GIHS [6] | 5.381 | 1.7017 | 0.7095 | 0.5362 | 0.8014 | GFF [33] | 5.115 | 1.7479 | 0.6803 | 0.4825 | 0.6741 | IAWP [23] | 5.152 | 1.7753 | 0.6735 | 0.3233 | 0.3331 | Proposed | 5.738 | 1.7912 | 0.6788 | 0.5746 | 0.8469 |
| Grade II astrocytoma | DWT [12] | 3.4820 | 1.3817 | 0.7287 | 0.6495 | 0.8566 | GIHS [6] | 3.4679 | 1.3848 | 0.8149 | 0.6227 | 0.8779 | GFF [33] | 3.5558 | 1.3758 | 0.8120 | 0.6417 | 0.8561 | IAWP [23] | 3.6351 | 1.3770 | 0.8018 | 0.3757 | 0.5405 | Proposed | 3.5762 | 1.4292 | 0.8133 | 0.6674 | 0.9125 |
| Grade IV astrocytoma | DWT [12] | 5.4140 | 1.7487 | 0.6775 | 0.5727 | 0.8434 | GIHS [6] | 5.7868 | 1.7084 | 0.6207 | 0.5697 | 0.8547 | GFF [33] | 5.6628 | 1.7883 | 0.6819 | 0.5112 | 0.7917 | IAWP [23] | 5.6831 | 1.8298 | 0.6718 | 0.3584 | 0.5642 | Proposed | 5.8204 | 1.8683 | 0.6739 | 0.5885 | 0.8755 |
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