Positron Emission Tomography Time-Activity Curve Analysis

To facilitate the analysis of positron emission tomography (PET) time activity curve (TAC) data, and to encourage open science and replicability, this package supports data loading and analysis of multiple TAC file formats. Functions are available to analyze loaded TAC data for individual participants or in batches. Major functionality includes weighted TAC merging by region of interest (ROI), calculating models including standardized uptake value ratio (SUVR) and distribution volume ratio (DVR, Logan et al. 1996 ), basic plotting functions and calculation of cut-off values (Aizenstein et al. 2008 ). Please see the walkthrough vignette for a detailed overview of 'tacmagic' functions.


tacmagic 0.2.1

Minor changes

This version has no changes to features but addresses minor, mostly stylistic, issues for the initial CRAN release.

tacmagic 0.2.0

Major changes

This is the first release as a complete R package, and the version that has undergone open review with rOpenSci. The main features of tacmagic 0.2.0 are implemented and tested: loading PET time activity curve (tac) data from multiple formats, merging ROIs weighted for volume, calculating binding potential models including SUVR and DVR, basic plotting, and calculation of cut-off values. As tacmagic is still a new package and testing to date is based on few example files, it is essential to verify that all functions are behaving as expected when applied to your own data.

Reference manual

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0.2.1 by Eric Brown, 3 months ago


Report a bug at https://github.com/ropensci/tacmagic

Browse source code at https://github.com/cran/tacmagic

Authors: Eric Brown [aut, cre] , Ariel Graff-Guerrero [dgs] , Jon Clayden [rev] , Jon Clayden reviewed the package for ropensci , see <https://github.com/ropensci/software-review/issues/280>) , Brandon Hurr [rev] , Brandon Hurr reviewed the package for ropensci , see <https://github.com/ropensci/software-review/issues/280>)

Documentation:   PDF Manual  

GPL-3 license

Imports graphics, grDevices, pracma, utils, R.matlab

Suggests testthat, knitr, rmarkdown, covr

See at CRAN