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April 8, 2024Scientific ReportsOpen Access

A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions

Marco Barbieri Melissa T. Hooijmans Kévin Moulin Tyler E. Cork Daniel B. Ennis Garry E. Gold Feliks Kogan Valentina Mazzoli

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This work presents a deep learning approach for rapid and accurate muscle water T

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Barbieri et al. (2024) studied this question.

synapsesocial.com/papers/68e6fff6b6db643587679a87 https://doi.org/10.1038/s41598-024-58812-2

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Fast water/fat T2 and PDFF mapping via multiple overlapping‑echo detachment acquisition and deep learning reconstruction2025 · 2 citations
2Quantitative muscle water <scp>T<sub>2</sub></scp> mapping using <scp>RF</scp> phase‐modulated <scp>3D</scp> gradient echo imagingother · 2025
3Simultaneous <i>T</i><sub>2</sub> and lipid quantitation using IDEAL‐CPMGother · 2011 · 53 citations
4Accelerated free‐breathing abdominal T2 mapping with deep learning reconstruction of radial turbo spin‐echo data2025 · 2 citations
5Water specific T1 in Skeletal Muscle: Validation, Normative Values and the Confounding Influence of Fat2025

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