Salas-Gonzalez, Diego and Gorriz, Juan M. and Ramirez, Javier and Illan, Ignacio A. and Lang, Elmar W. (2013) Linear intensity normalization of FP-CIT SPECT brain images using the alpha-stable distribution. NEUROIMAGE, 65. pp. 449-455. ISSN 1053-8119, 1095-9572
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | DOPAMINE TRANSPORTER BINDING; EMISSION COMPUTED-TOMOGRAPHY; PARKINSONS-DISEASE; I-123-FP-CIT SPECT; ALZHEIMERS-DISEASE; LEWY BODIES; DEMENTIA; DIAGNOSIS; DECLINE; TREMOR; |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 28 Apr 2020 07:25 |
| Last Modified: | 28 Apr 2020 07:25 |
| URI: | https://pred.uni-regensburg.de/id/eprint/17288 |
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