A data‐driven approach for improved quantification of in vivo metabolic conversion rates of hyperpolarized [1‐ <scp> <sup>13</sup> C </scp> ]pyruvate
The proposed data-driven kinetic fitting approach provided a method to accurately quantify HP <sup>13</sup>C-pyruvate metabolism in the presence of B<sub>1</sub> <sup>+</sup> inhomogeneity. This model may also be used to correct for other error sources, such as T<sub>1</sub> relaxation and flow, and may prove to be clinically valuable in improving tumor staging or assessing treatment response.
Authors
- Philip Lee (ORCID: https://orcid.org/0000-0002-5783-1599)
- Daniel B. Vigneron (ORCID: https://orcid.org/0000-0001-5795-8699)
- Tanner Nickles (ORCID: https://orcid.org/0000-0003-4322-2431)
- Peder E. Z. Larson (ORCID: https://orcid.org/0000-0003-4183-3634)
- Yaewon Kim (ORCID: https://orcid.org/0000-0003-1016-1572)
- Robert Bok (ORCID: https://orcid.org/0000-0003-1737-9056)
- Jeremy W. Gordon (ORCID: https://orcid.org/0000-0003-2760-4886)
- Cornelius von Morze (ORCID: https://orcid.org/0000-0002-3992-1793)
- Michael A. Ohliger (ORCID: https://orcid.org/0000-0001-6878-8189)
Institutions
- University of California, San Francisco (US)
- Washington University in St. Louis (US)
- University of California System (US)
- Neurological Surgery (US)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1002/mrm.30445
- Primary Topic
- Advanced NMR Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health