Zusammenfassung
In this work, a linear procedure to perform the intensity normalization of FP-CIT SPECT brain images is presented. This proposed methodology is based on the fact that the histogram of intensity values can be fitted accurately using a positive skewed alpha-stable distribution. Then, the predicted alpha-stable parameters and the location-scale property are used to linearly transform the intensity ...
Zusammenfassung
In this work, a linear procedure to perform the intensity normalization of FP-CIT SPECT brain images is presented. This proposed methodology is based on the fact that the histogram of intensity values can be fitted accurately using a positive skewed alpha-stable distribution. Then, the predicted alpha-stable parameters and the location-scale property are used to linearly transform the intensity values in each voxel. This transformation is performed such that the new histograms in each image have a pre-specified alpha-stable distribution with desired location and dispersion values. The proposed methodology is compared with a similar approach assuming Gaussian distribution and the widely used specific-to-nonspecific ratio. In this work, we show that the linear normalization method using the alpha-stable distribution outperforms those existing methods. (C) 2012 Elsevier Inc. All rights reserved.
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