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