Visual registration was used to evaluate images of the same anatomical site on the HR-pQCT, 320-slice MDCT and 64-slice MDCT images.
For quantitative descriptions, a two-dimensional correlation coefficient can be used to evaluate the image similarity or dissimilarity between a given image and a reference image (section A.4 in Appendix).
Q, Q W, and Q E are used to evaluate the image fusion performance [18].
Peak signal-to-noise ratio and structural similarity index measure are used to evaluate the image quality.
Furthermore, ΔInormalized of the local upper region, defined as the difference of Inormalized between post-injection and the 0th hour, was used to evaluate the image brightness variation of the parts of the tumors that occurred because of the accumulation of anti-CEA SPIONPs, as depicted in Figure 4b.
Image J and a plugin were used to evaluate these images and return a measure of degradation in terms of pixels.
TrueD software program was used to evaluate the images.
Two pairs of data sets, one pair of IKONOS panchromatic images from different times and the other pair of images consisting of an IKONOS panchromatic image and a QuickBird multispectral image, are used to evaluate the proposed image registration algorithm.
Several widely adopted image quality metrics are used to evaluate the deblurred images generated by the proposed Taguchi method.
