Image derived arterial input function using nonnegative matrix factorization for PET quantitative analysis
Résumé
The goal is to estimate the Arterial Input Function and other pharmacokinetics with their corresponding spatial distributions., from dynamical PET data without invasive arterial measurements. Several techniques have been developed to solve this issue. Because voxels and kinetics are positive, data were processed via Nonnegative Matrix Factorization. Results are presented regarding a human brain study of the pharmacokinetics of the [18F]-FDG tracer and PET images reconstructed using OSEM algorithm.
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