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.

MetricCSRNSCT-MSF-PCNNGFFCSCSLP-SRProposed

0.80650.80550.80640.80670.80600.8071
0.66230.51710.64280.65970.61780.7081
0.65600.46910.66210.56000.65910.8489
48.909553.846950.027847.376154.448555.5928

0.80580.80510.81670.80580.80560.8277
0.67600.53731.22420.65030.66400.8370
0.72650.46840.78940.64370.71300.8674
59.862771.660256.729057.527373.709683.8645

0.80640.80530.80630.80670.80610.8071
0.64190.49940.62220.64170.60530.6914
0.64590.46830.65920.53760.64760.8457
48.464356.570750.255946.497955.279656.1166

0.80600.80520.81580.80590.80560.8072
0.70600.55671.25650.66080.66600.8220
0.73310.49110.79670.63450.72290.8275
59.443275.104359.487255.598271.437689.1413

0.80390.80300.80550.80490.80350.8062
0.56980.36520.67210.62710.50770.8241
0.73800.52540.75100.66570.74310.8608
35.390346.079749.600044.312445.595251.4487