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MRseq - MR pulse sequences using Pulseq

MRseq is a collection of several useful functions, kernels and scripts for creating vendor-agnostic MR pulse sequences using the open-source Pulseq format.

Contributing

We are looking forward to your contributions via Pull-Requests.

Installation for developers

Prerequisites for Windows

Before installing MRseq with development dependencies on Windows, you need:

  1. Visual Studio Build Tools: The MRzeroCore dependency requires Rust compilation with Microsoft Visual C++ linker

    • Download "Build Tools for Visual Studio 2022" from https://visualstudio.microsoft.com/downloads/
    • During installation, select the "C++ build tools" workload
    • Ensure "Windows 10/11 SDK" is included
    • This is required for compiling native Rust extensions
  2. Rust toolchain (automatically installed by MRzeroCore if not present)

Installation steps

  1. Clone the MRseq repository
  2. Create/select a python environment
  3. Install MRseq in editable mode including test dependencies: pip install -e ".[dev]"
  4. Setup pre-commit hook: pre-commit install

Licensing and Dependencies

The core source code of MRseq is licensed under the Apache-2.0 license.

For quality control and demonstration purposes, the notebooks in the examples/ directories utilize MRZero which is AGPL-licensed. The notebooks in the examples/ folder should be treated as AGPLv3.

Important for Commercial Users: The AGPL dependency is listed only as an optional dev dependency. Installing this package via pip install mrseq does not install the AGPL library. Your usage of the core library remains subject to the permissive Apache-2.0 terms, unaffected by the licensing of the test suite or examples.

Contact

For questions or support, please contact us:

Christoph Kolbitsch
Physikalisch-Technische Bundesanstalt (PTB)
Abbestraße 2-12
10587 Berlin, Germany
christoph.kolbitsch@ptb.de

Patrick Schünke
NVision Quantum Technologies GmbH
Wolfgang-Paul-Straße 2
89081 Ulm, Germany
patrick.schuenke@nvision-quantum.com

Acknowledgments

We would like to thank NVision Quantum Technologies GmbH for their contributions to this project.

Metadata

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