To foster openness, replicability, and efficiency, tacmagic
facilitates loading and analysis of positron emission tomography data in R.
As a tacmagic
is a new package, we strongly recommend checking all work against existing analyses to confirm the results are as expected, and welcome any feedback.
Installation
The stable version of the package can be installed from CRAN, and the more recent development version can be installed with the devtools package.
Use the following R commands to download the version you would like: for the CRAN release, install.packages("tacmagic")
, for the github release version that may not yet be available on CRAN, devtools::install_github("ropensci/tacmagic")
, and for the very latest in-development version that is more likely to have bugs or errors and thus is not suitable for production use, use devtools::install_github("ropensci/tacmagic", ref="devel")
.
Features
The features of tacmagic
are demonstrated in the package’s walkthrough vignette, which is highly recommended for first-time uses.
Data loading and weighted-averages
Time-activity curve (TAC) and/or region of interest (ROI) volume data can be loaded from various file formats including PMOD .tac and .voistat files, a .mat file from the magia pipeline, and Turku PET Centre’s .DFT format.
There is support for converting the radioactivity units in TAC data.
This package is not affiliated with any of the above pipelines.
Time-activity curve plotting
Basic plotting of one or more TAC from one or more participants is available.
Licence
Copyright (C) 2018 Eric E. Brown
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
We also note specifically that this package is not intended for clinical use, and may contain bugs or errors, so any results should be verified. As above, we provide no warranty and assume no liability.