A data‐driven algorithm to determine <scp> <sup>1</sup> H </scp> ‐ <scp>MRS</scp> basis set composition
Data-driven determination of the basis set composition is feasible. With refinement, this approach could provide a valuable data-driven way to derive or refine basis sets, reducing the operator bias of MRS analyses, enhancing the objectivity of quantitative analyses, and increasing the clinical viability of MRS.
Authors
- Helge J. Zöllner (ORCID: https://orcid.org/0000-0002-7148-292X)
- Georg Oeltzschner (ORCID: https://orcid.org/0000-0003-3083-9811)
- Dunja Simičić (ORCID: https://orcid.org/0000-0002-6600-2696)
- Richard A.E. Edden (ORCID: https://orcid.org/0000-0002-0671-7374)
- Christopher W. Davies‐Jenkins (ORCID: https://orcid.org/0000-0002-6015-762X)
- Şeyma Alçiçek (ORCID: https://orcid.org/0000-0002-9447-4906)
Institutions
- Goethe University Frankfurt (DE)
- Johns Hopkins University (US)
- University Hospital Frankfurt (DE)
- Frankfurt Cancer Institute (DE)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-08-16
- DOI
- https://doi.org/10.1002/mrm.70030
- Citations
- 2
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Deutsche Krebshilfe
- National Institutes of Health