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License

copyright Selma Metzner (PTB) 2021

This software is licensed under the BSD-like license:

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

Disclaimer

This software was developed at Physikalisch-Technische Bundesanstalt (PTB). The software is made available "as is" free of cost. PTB assumes no responsibility whatsoever for its use by other parties, and makes no guarantees, expressed or implied, about its quality, reliability, safety, suitability or any other characteristic. In no event will PTB be liable for any direct, indirect or consequential damage arising in connection

Reference

This repository contains the Matlab code that is used in the paper

[1] Bayesian uncertainty quantification for magnetic resonance fingerprinting, Phys. Med. Biol. (2021), https://doi.org/10.1088/1361-6560/abeae7

Motivation

The dictionary-based MRF method restricts itself to the calculation of estimates for the relaxation times T1 and T2. In this project uncertainties for these estimates are calculated in an easy and fast way using a Bayesian approach.

Installation

This software is written in MATLAB R2020b and uses the Parallel Computing Toolbox 7.3 (if no Parallel Toolbox is installed, all parfor-loops have to be replaced by a for-loop; it should then work without the Parallel Computing Toolbox)

Contact

Please contact selma.metzner@ptb.de