| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6030706 | NeuroImage | 2013 | 12 Pages |
Abstract
⺠We apply the Non-Linear Mixed Effects Modelling approach for PET metabolite correction. ⺠We compare the method with standard approach in both simulation and measured data. ⺠Non-Linear Mixed Effects provides a superior description of parent plasma fraction. ⺠Non-Linear Mixed Effects demonstrates to be robust in the presence of outliers. ⺠Plasma metabolite modelling impacts on PET tissue kinetic quantification.
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Authors
Mattia Veronese, Roger N. Gunn, Stefano Zamuner, Alessandra Bertoldo,