kinfitr
kinfitr performs kinetic modelling of Positron Emission Tomography (PET) data to quantify tracer pharmacokinetics and support reproducible PET analyses.
Key Features:
- Model selection: Supports 14 different kinetic models for PET pharmacokinetic analysis.
- Goodness-of-fit assessment: Includes tools to assess goodness of fit for each applied model.
- PET data handling: Provides routines for managing and preprocessing PET data prior to modelling.
- Reproducibility and transparency: Encourages sharing of analysis code and data to enable independent verification of results.
- R implementation: Implements models and analysis routines within the R programming language.
Scientific Applications:
- Neurology: Quantification of tracer kinetics to study neurological processes and targets.
- Oncology: Measurement of tracer uptake and kinetics in tumor imaging studies.
- Cardiology: Assessment of cardiac tracer kinetics for studies of myocardial physiology and pathology.
Methodology:
Implements kinetic modelling of PET data using 14 specified models, provides goodness-of-fit assessment tools and PET data handling routines within R, and supports sharing of analysis code for reproducible workflows.
Topics
Details
- Tool Type:
- command-line tool, library
- Programming Languages:
- R
- Added:
- 11/14/2019
- Last Updated:
- 12/14/2020
Operations
Publications
Matheson GJ. kinfitr: Reproducible PET Pharmacokinetic Modelling in R. Unknown Journal. 2019. doi:10.1101/755751.
DOI: 10.1101/755751