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.