OpenMRF
Open-MRF is a modular framework for Magnetic Resonance Fingerprinting (MRF) that supports flexible sequence design, automated Bloch and EPG simulation, and state-of-the-art low-rank reconstructions. It enables easy deployment of MRF across multiple scanner platforms via the vendor-neutral Pulseq format.
Install / Use
/learn @HarmonizedMRI/OpenMRFREADME

OpenMRF (Legacy Repository)
⚠️ Note: The OpenMRF project has moved to a new GitHub organization.
The actively maintained source code and documentation is now available at:
👉 github.com/openmrf/openmrf-core-matlab
For more information visit:
👉 openmrf.org
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 (doi: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, GE, Philips and United Imaging systems.
The OpenMRF Team: 21.03.2026
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Audited on Mar 21, 2026
