DCEMRI

Software for Magnetic Resonance Imaging

Software for Analysing Data from Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI), Cardiac Magnetic Resonance (CMR) imaging and functional Magnetic Resonance Imaging (fMRI).

Maximum Entropy Approach in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

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 …

Neue Veröffentlichung: Spatially regularized estimation for the analysis of DCE-MRI data

Abstract 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 compartments for each voxel such that the model complexity is not fixed a priori. A multi-compartment approach is considered, which is translated into a restricted least square model selection problem. This is done by using a set of basis functions for a given set of candidate rate constants.

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 …

Stepwise heterogeneity analysis of breast tumors in perfusion DCE-MRI datasets

A Bayesian hierarchical model for DCE-MRI to evaluate treatment response in a phase II study in advanced squamous cell carcinoma of the head and neck

OBJECT: Pharmacokinetic parameters from dynamic contrast-enhanced MRI (DCE-MRI) were used to assess the perfusion effects due to treatment response using a tyrosine kinase inhibitor. A Bayesian hierarchical model (BHM) is proposed, as an alternative …

How heterogeneous is the liver? A cluster analysis of DCE-MRI time series

Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R

The package dcemriS4 provides a complete set of data analysis tools for quantitative assessment of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Image processing is provided for the ANALYZE and NIfTI data formats as input with all …