Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Gregory Z. Ferl
Title: DATforDCEMRI: An R Package for Deconvolution Analysis and Visualization of DCE-MRI Data
Abstract: Numerical deconvolution is a powerful mathematical operation that can be used to extract the impulse response function of a linear, time-invariant system. We have found this method to be useful for preliminary analysis of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data, capable of quickly producing voxel-wise parametric maps describing the heterogeneity of contrast agent kinetics over the entire field of view, typically comprising tens of thousands of voxels. The statistical programming language R is well suited for this type of analysis and when combined with LATEX, via Sweave, allows one to perform all calculations and generate a report with a single script. The purpose of this manuscript is to describe the R package DATforDCEMRI, a Deconvolution Analysis Tool for DCE-MRI contrast agent concentration vs. time data, which allows the user to perform kinetic deconvolution analysis and visualize/explore the resulting voxel-wise parametric maps and associated data.

Page views:: 4108. Submitted: 2010-10-11. Published: 2011-10-27.
Paper: DATforDCEMRI: An R Package for Deconvolution Analysis and Visualization of DCE-MRI Data     Download PDF (Downloads: 4673)
DATforDCEMRI_0.51.tar.gz: R source package Download (Downloads: 1243; 2MB)
v44i03.R: R example code from the paper Download (Downloads: 920; 456B) Example Data Download (Downloads: 994; 154B)

DOI: 10.18637/jss.v044.i03

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.