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Free-Breathing Liver Fat,<i>R</i>₂* and<i>B</i>₀ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-Based Reconstruction

Zhengguo Tan, Christina Unterberg‐Buchwald, Moritz Blumenthal, Nick Scholand, Philip Schaten, H. Christian M. Holme, Xiaoqing Wang, Dirk Raddatz, Martin Uecker

2022IEEE Transactions on Medical Imaging14 citationsDOIOpen Access PDF

Abstract

This work introduced a stack-of-radial multi-echo asymmetric-echo MRI sequence for free-breathing liver volumetric acquisition. Regularized model-based reconstruction was implemented in Berkeley Advanced Reconstruction Toolbox (BART) to jointly estimate all physical parameter maps (water, fat, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${R}_{{2}}^{\ast}$ </tex-math></inline-formula> , and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${B}_{{0}}$ </tex-math></inline-formula> field inhomogeneity maps) and coil sensitivity maps from self-gated <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> -space data. Specifically, locally low rank and temporal total variation regularization were employed directly on physical parameter maps. The proposed free-breathing radial technique was tested on a water/fat & iron phantom, a young volunteer, and obesity/diabetes/hepatic steatosis patients. Quantitative fat fraction and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$R_{2}^{\ast}$ </tex-math></inline-formula> accuracy were confirmed by comparing our technique with the reference breath-hold Cartesian scan. The multi-echo radial sampling sequence achieves fast <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> -space coverage and is robust to motion. Moreover, the proposed motion-resolved model-based reconstruction allows for free-breathing liver fat and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${R}_{{2}}^{\ast}$ </tex-math></inline-formula> quantification in multiple motion states. Overall, our proposed technique offers a convenient tool for non-invasive liver assessment with no breath holding requirement.

Topics & Concepts

Imaging phantomIterative reconstructionMagnetic resonance imagingArtificial intelligenceMathematicsComputer visionComputer scienceBiomedical engineeringNuclear medicineRadiologyMedicineAdvanced MRI Techniques and ApplicationsLiver Disease Diagnosis and TreatmentAdvanced NMR Techniques and Applications
Free-Breathing Liver Fat,<i>R</i>₂* and<i>B</i>₀ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-Based Reconstruction | Litcius