More-Compartment Model

Boosting in Nonlinear Regression Models with an Application to DCE-MRI Data

For the statistical analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data, compartment models are a commonly used tool. By these models, the observed uptake of contrast agent in some tissue over time is linked to physiologic …

Spatially regularized estimation for the analysis of dynamic contrast-enhanced magnetic resonance imaging data

Competing compartment models of different complexities have been used for the quantitative analysis of dynamic contrast-enhanced magnetic resonance imaging data. We present a spatial elastic net approach that allows to estimate the number of …

Spatial two-tissue compartment model for dynamic contrast-enhanced magnetic resonance imaging

In the quantitative analysis of dynamic contrast-enhanced magnetic resonance imaging compartment models allow the uptake of contrast medium to be described with biologically meaningful kinetic parameters. As simple models often fail to describe …

Two Tissue Compartment Model in DCE-MRI: A Bayesian Approach

In this paper, we propose a compartment model with two interstitial space compartments for the quantitative description of the contrast medium kinetics in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The model accounts for …