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October 3, 2025Physics in Medicine and Biology

Fast water/fat T2 and PDFF mapping via multiple overlapping‑echo detachment acquisition and deep learning reconstruction

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Authors

QLQing LinWCWei‐Kun ChenTKTaishan Kang

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Overview

This method significantly reduces scan time and improves accuracy for evaluating muscle health, suggesting enhanced diagnostic potential for neuromuscular diseases.

Key Points

  • The study achieved high R2 values of 0.999 in numerical simulations for both water T2 and PDFF metrics, indicating strong accuracy.
  • In phantom testing, the method demonstrated repeatability with a coefficient of variation under 2.0%, affirming reliability across varied settings.
  • The new imaging technique functioned effectively in differentiating fat infiltration from muscle damage in clinical patient scans.
  • CSE-MOLED provides rapid T2 and proton density mapping in just 162 ms per slice, enabling faster diagnostic processes.

Cite This Study

Lin et al. (2025) studied this question.

synapsesocial.com/papers/68e034f7f0e39f13e7fa30dbhttps://doi.org/10.1088/1361-6560/ae0efa
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Also Consider

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

  1. 1Water–fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network2019 · 51 citations
  2. 2Single-shot water/fat separation T2* mapping with multiple overlapping-echo detachment imaging2024
  3. 3Simultaneous <i>T</i><sub>2</sub> and lipid quantitation using IDEAL‐CPMG2011 · 51 citations
  4. 4Simultaneous Liver Water T1 and Fat Fraction Mapping using Chemical-Shift Encoded Modified Look-Locker Inversion Recovery Imaging2025
  5. 5Quantification of muscle fat fraction and water T2 via RF phase-modulated 3D gradient-echo imaging2024