Distributed models

Distributed models describe spatial and temporal variations and are generally accepted to correspond more closely to physiological reality than simpler compartmental models (Zierler, 1981; Kuikka et al 1991). Compartmental models are inadequate when the data have high temporal resolution (Zierler, 1981; Munk et al 2003).

However, in PET imaging, compartmental models have been shown to provide estimates of receptor concentration that are as good as those of a distributed model, and are assumed to be adequate for analysis of PET imaging data in general, when there is limited temporal resolution (Muzic & Saidel, 2003). More complex distributed-parameter models may not even be adequate at all for PET data in some cases (Quarles et al., 1993).

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Updated at: 2019-03-07
Created at: 2005-06-12
Written by: Vesa Oikonen