Accelerated water residual removal in <scp>MRS</scp> : Exploring deep learning versus fitting‐based approaches
WaterFit showed a superior balance of accuracy and processing speed in removing water residual from MRS data compared to DeepWatR. The proposed WaterFit implementation significantly reduces preprocessing time while maintaining metabolite fitting accuracy comparable to gold standard methods. This advancement addresses the need for efficient processing methods that can facilitate analysis and enhance the clinical utility of MRS.
Authors
- Johannes Slotboom (ORCID: https://orcid.org/0000-0001-5121-9852)
- Milena Capiglioni (ORCID: https://orcid.org/0000-0003-0695-0229)
- Federico Turco (ORCID: https://orcid.org/0000-0002-1632-526X)
Institutions
- University of Bern (CH)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1002/mrm.70031
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- H2020 Marie Skłodowska-Curie Actions