Computational and Mathematical Methods in Medicine / 2013 / Article / Fig 5

Research Article

Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization

Figure 5

Circles: mean normalised cost function value of 50 images versus number of iterations for the original SPECT brain images with intensity values expanded from 0 to 1. Rectangles: mean normalised cost function calculated applying the affine matrix calculated in each iteration using the preprocessed SPECT images to the original brain SPECT images. Dotted red line: mean normalised cost function value of 50 images versus number of iterations for preprocessed images using histogram matching.
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