Matheon - F10: Image and signal processing in the biomedical sciences: diffusion weighted imaging - modeling and beyond
Package "fmri" for R
The R-package "fmri" provides functions for analyzing single run fmri data with structure adaptive smoothing procedure. This includes I/O function for ANALYZE, AFNI, or DICOM files, linear modelling with hemodynamic response functions, signal detection using Random Field Theory.
References: K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Analyzing
fMRI experiments with structural adaptive smoothing procedures., NeuroImage 33(1), 55-62 (2006).
J. Polzehl, K. Tabelow.
Structural adaptive segmentation of statistical parametric mapping NeuroImage 52(2), 515-523 (2010).
K. Tabelow, J. Polzehl, Statistical parametric maps for functional MRI experiments in R: The package fmri, J. Statist. Software, 44 1-21 (2011).
Documentation: J. Polzehl, K. Tabelow. Analyzing fMRI experiments with the fmri package in R. Version 1.0 - A users guide. WIAS-Technical Report No. 10 (2006), or J. Polzehl, K. Tabelow. fmri: A package for analyzing fmri data, RNews 7(2) 13-17 (2007).
Download: CRAN, which may contain a newer version, or fmri_1.4-0.tar.gz, or fmri_1.4-0.zip
Package "adimpro" for R
This packages provides functions for structure adaptive smoothing of digital images. This includes I/O functions for several image formats (including RAW), which relies on ImageMagick, image analysis and processing tools.
Reference, including documentation: J. Polzehl, K. Tabelow. Adaptive smoothing of digital images: The R package adimpro., Journal of Statistical Software 19(1), (2007).
Download: CRAN, which may contain a newer version, or adimpro_0.7.3.tar.gz, or adimpro_0.7.3.zip
Package "dti" for R
This package provides a structure adaptive smoothing procedure for Diffusion Tensor Imaging (DTI).
Reference: K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss.
Diffusion Tensor Imaging: Structural adaptive smoothing, NeuroImage 39(4), 1763-1773 (2008).
J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R package dti., Journal of Statistical Software 31, (2009).
J. Polzehl, K. Tabelow, Beyond the Gaussian model in diffussion-weighted imaging: The package dti, J. Statist. Software, 44, 1-26 (2011).
K. Tabelow, H.U. Voss, J. Polzehl, Modeling the orientation distribution function by mixtures of angular central Gaussian distributions, Journal of Neuroscience Methods 203(1) 200-211 (2012).
S. Becker, K. Tabelow, H.U. Voss, A. Anwander, R.M. Heidemann, J. Polzehl, Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS), WIAS-Preprint No. 1668, (2011).
Download: CRAN, which may contain a newer version, or dti_0.9-0.tar.gz, or dti_0.9-0.zip