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The data were corrected for phase errors in the bipolar multi\u2010echo acquisition followed by low rank reconstruction with total variation regularization. A dictionary of signals parameterized by T1\/T2 was calculated with an extended phase graph algorithm. The singular images were constructed using a signal subspace from the dictionary and the first singular images were then jointly fit for R2* and PDFF using the off\u2010resonance information from an independent B0 map. The complete set of B0\/T2*\u2010corrected fat\u2010water separated water singular images were fitted for T1\/T2. Triglyceride composition was computed using the multi\u2010echo complex readout. Three phantoms and three healthy volunteers were assessed for accuracy, repeatability, and reproducibility against validated reference sequences across five days using a test\u2010retest setup.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>All coefficients of determination were at least 0.9 against reference sequences in standard phantoms across all quantitative parameters. The repeatability and reproducibility averaged under 5% in phantoms and under 10% in healthy volunteers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The proposed MRF acquisition demonstrated the potential to replace the current time\u2010intensive sequences on the 1.5T MR\u2010Linac, thus increasing the adoption of specialized quantitative imaging biomarker approaches at high temporal density in the head and neck.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.70670","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T12:37:12Z","timestamp":1791549432000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Simultaneous T1, T2, R2*, PDFF, and triglyceride quantification in the head and neck using magnetic resonance fingerprinting on a 1.5T 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