Website under active construction
Welcome to the OpenMRF Documentation website!
OpenMRF is currently under active development. A corresponding publication describing the framework in detail will be released soon. Please watch out for this publication and use it for citation once available.
New to OpenMRF?
We strongly recommend getting started by reading the Quickstart guide carefully. For more detailed information on specific topics, refer to the wiki.
Introduction
OpenMRF is a modular and vendor-neutral framework for Magnetic Resonance Fingerprinting (MRF) built on the open-source Pulseq standard. It is built upon the MATLAB version of Pulseq by Kelvin J. Layton and Maxim Zaitsev (https://doi.org/10.1002/mrm.26235). OpenMRF unifies all core components of the MRF workflow within a single MATLAB-based toolbox: flexible sequence generation, automated Bloch-based dictionary simulation, and low-rank image reconstruction. The provided tools support a wide range of contrast preparations and readouts (e.g., spiral, radial, rosette) and include integrated solutions for trajectory calibration, spin-lock modeling, slice profile simulation, and metadata storage. Designed for reproducibility and portability, OpenMRF enables easy deployment of MRF protocols across multiple scanner platforms, including Siemens and GE systems.
Contents
include_miitt/: Contains the low-rank reconstruction code provided by the MIITT group and Jeffrey Fessler's MIRT toolbox. Includes an installation script.include_misc/: Miscellaneous utilities and helper functions.include_pre_sim_library/: Library of SLR optimized RF pulse waveforms (includingsigpygenerated pulses) and flip angle patterns for MRF. Also used to store pre-simulated slice profiles, adiabatic efficiencies and compressed dictionaries.include_pulseq_original/: Copy of the official Pulseq repo (v1.5, April 01, 2025). Includes minor modifications to the plotting functions for visualizing trigger inputs/outputs.include_pulseq_toolbox/: Contains standard imaging readouts (cartesian, radial, spiral, rosette) combined with various preparation modules (inversion recovery, saturation, MLEV-T2, spin-lock, adiabatic spin-lock, CEST). Also includes simulation tools for MRF dictionary generation.main_sequences/: Example Pulseq sequences and reconstruction scripts.projects/: Collection of projects, which were published or presented on conferences or which are currently work in progress. For your own project, we recommend creating a subfolder and saving all your scripts here.user_specifications/: User specific definitions (automatically generated viainstall_OpenMRF.m), MRI system specifications (create a.csvfile for your system's gradient limits and timings) and optionally your python cmd specifications forsigpypulses.
System Requirements
- MATLAB tested with R2024b and R2025a on Win11 and Ubuntu 22.04.
- Python with the
sigpypackage — required for designing SLR and adiabatic RF pulses (e.g., BIR-4). More information on the Python setup can be found here.
Citation
Coming soon!