An Accelerated Spectroscopic MRI Metabolite Quantification Based on a Deep Learning Method for Radiation Therapy Planning in Brain Tumor Patients
This study highlights NNFit's potential for rapid, accurate, and artifact-reduced metabolic imaging, enabling faster radiotherapy planning.
Authors
- Sulaiman Sheriff
- Lee Cooper (ORCID: https://orcid.org/0000-0002-3504-4965)
- Karthik Ramesh (ORCID: https://orcid.org/0000-0001-9052-8973)
- Brent D. Weinberg (ORCID: https://orcid.org/0000-0002-7992-1747)
- Andrew A. Maudsley (ORCID: https://orcid.org/0000-0001-7653-3063)
- Alexander S. Giuffrida (ORCID: https://orcid.org/0000-0001-6512-0992)
- Hyunsuk Shim
Institutions
- Northwestern University (US)
- Georgia Institute of Technology (US)
- University of Miami (US)
- Emory University (US)
Publication Details
- Journal
- Cancers
- Published
- 2025-01-27
- DOI
- https://doi.org/10.3390/cancers17030423
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Institutes of Health