Simultaneous 3D T1, T2, and fat-signal-fraction mapping with respiratory-motion correction for comprehensive liver tissue characterization at 0.55 T

Donovan P. Tripp, Karl P. Kunze, Michael G. Crabb, Claudia Prieto*, Radhouene Neji, René M. Botnar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Purpose: To develop a framework for simultaneous three-dimensional (3D) mapping of (Formula presented.), (Formula presented.), and fat signal fraction in the liver at 0.55 T. Methods: The proposed sequence acquires four interleaved 3D volumes with a two-echo Dixon readout. (Formula presented.) and (Formula presented.) are encoded into each volume via preparation modules, and dictionary matching allows simultaneous estimation of (Formula presented.), (Formula presented.), and (Formula presented.) for water and fat separately. 2D image navigators permit respiratory binning, and motion fields from nonrigid registration between bins are used in a nonrigid respiratory-motion-corrected reconstruction, enabling 100% scan efficiency from a free-breathing acquisition. The integrated nature of the framework ensures the resulting maps are always co-registered. Results: (Formula presented.), (Formula presented.), and fat-signal-fraction measurements in phantoms correlated strongly (adjusted (Formula presented.)) with reference measurements. Mean liver tissue parameter values in 10 healthy volunteers were (Formula presented.), (Formula presented.), and (Formula presented.) for (Formula presented.), (Formula presented.), and fat signal fraction, giving biases of (Formula presented.), (Formula presented.), and (Formula presented.) percentage points, respectively, when compared to conventional methods. Conclusion: A novel sequence for comprehensive characterization of liver tissue at 0.55 T was developed. The sequence provides co-registered 3D (Formula presented.), (Formula presented.), and fat-signal-fraction maps with full coverage of the liver, from a single nine-and-a-half-minute free-breathing scan. Further development is needed to achieve accurate proton-density fat fraction (PDFF) estimation in vivo.

Original languageEnglish
Pages (from-to)2433-2446
Number of pages14
JournalMagnetic Resonance in Medicine
Volume92
Issue number6
DOIs
Publication statusPublished - Dec 2024

Keywords

  • liver
  • low-field MR
  • motion correction
  • NAFLD
  • quantitative imaging

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