vbPET

Variational Bayesian estimator for Positron Emission Tomography imaging

This toolbox provides a Variational Bayesian estimator for the quantification of Positron Emission Tomography data. It includes several model used for kinetic modeling. It is based on MATLAB and require the use of Parallel Toolbox to speedup the estimation. Please cite [1] if you use this toolbox in your research.

[1] M. Castellaro, G. Rizzo, M. Tonietto, M. Veronese, F.E. Turkheimer, M.A. Chappell and A. Bertoldo “A Variational Bayesian inference method for parametric imaging of PET data”, NeuroImage, 150:136-149 (2017).

Installation

Matlab:

git clone https://github.com/marcocastellaro/vbPET
addpath('vbUtils')

Example

Demo

Release History

• 0.0.1
  • Work in progress

Meta

Marco Castellaro – @marcocaste84 – [email protected]

Distributed under the MIT license. See LICENSE for more information.

https://github.com/marcocastellaro/vbPET

Contributing

1. Fork it (https://github.com/marcocastellaro/vbPET/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request