A Digital Phantom for <scp>MR</scp> Spectroscopy Data Simulation
This novel digital phantom provides a flexible and extensible platform for MRS data simulation. Its modular architecture, user-friendly GUI, and open-source implementation support reproducible research, algorithm development, and validation in the MRS community.
Authors
- İsmaıl Özdemır (ORCID: https://orcid.org/0000-0001-6325-0216)
- Helge J. Zöllner (ORCID: https://orcid.org/0000-0002-7148-292X)
- Aaron T. Gudmundson (ORCID: https://orcid.org/0000-0001-5104-0959)
- Georg Oeltzschner (ORCID: https://orcid.org/0000-0003-3083-9811)
- Saipavitra Murali-Manohar
- Dunja Simičić (ORCID: https://orcid.org/0000-0002-6600-2696)
- Richard A.E. Edden (ORCID: https://orcid.org/0000-0002-0671-7374)
- Sina Amirrajab (ORCID: https://orcid.org/0000-0001-8226-7777)
- Christopher W. Davies‐Jenkins (ORCID: https://orcid.org/0000-0002-6015-762X)
- Julian P. Merkofer (ORCID: https://orcid.org/0000-0003-2924-5055)
- Dennis van de Sande (ORCID: https://orcid.org/0000-0001-6112-1437)
- Gizeaddis Simegn
Institutions
- Kennedy Krieger Institute (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1002/mrm.70138
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Johns Hopkins University
- ITEA
- US-UK Fulbright Commission
- Eurostars