Open-source cardiac magnetic resonance fingerprinting
The proposed open-source cMRF implementation enables accurate parameter estimation across multiple different scanners. Sequence files, image reconstruction, and parameter estimation scripts are available for reproducible quantitative MRI.
Authors
- Max Lutz (ORCID: https://orcid.org/0009-0001-1956-3757)
- Nicole Seiberlich (ORCID: https://orcid.org/0000-0002-8356-5407)
- Christoph Kolbitsch (ORCID: https://orcid.org/0000-0002-4355-8368)
- Patrick Schuenke (ORCID: https://orcid.org/0000-0002-3179-4830)
- Jeanette Schulz‐Menger (ORCID: https://orcid.org/0000-0003-3100-1092)
- Ingolf Sack (ORCID: https://orcid.org/0000-0003-2460-1444)
- Jesse Hamilton (ORCID: https://orcid.org/0000-0002-4463-481X)
- Matthias Anders
- Jakob Schattenfroh (ORCID: https://orcid.org/0009-0007-3654-4578)
- Philine Reisdorf
- Catarina Redshaw Kranich
Institutions
- Physikalisch-Technische Bundesanstalt (DE)
- Max Delbrück Center (DE)
- University of Michigan (US)
- Humboldt-Universität zu Berlin (DE)
- German Centre for Cardiovascular Research (DE)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Magnetic Resonance Materials in Physics Biology and Medicine
- Published
- 2025-06-21
- DOI
- https://doi.org/10.1007/s10334-025-01269-9
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- European Partnership on Metrology
- European Commission
- Deutsche Forschungsgemeinschaft
- HORIZON EUROPE Framework Programme