Model‐based reconstruction for simultaneous multi‐slice  mapping using single‐shot inversion‐recovery radial FLASH

Wang, Xiaoqing; Rosenzweig, Sebastian; Scholand, Nick; Holme, H. Christian M.; Uecker, Martin

doi:10.1002/mrm.28497

Cited by 22 publications

(31 citation statements)

References 52 publications

(137 reference statements)

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“…This framework is very general, combining parallel imaging, compressed sensing (CS), and model-based reconstruction in a unified reconstruction. Often the coil sensitivities are estimated before, but they could also be included as unknowns in x. Paired with suitable sampling schemes, this yields fully calibrationless methods that do not require additional calibration scans [11,13,[28][29][30][31]. Moreover, model-based reconstructions allow a direct application of sparsity-promoting regularizations to the physical parameters for performance improvement [3,7,13,24].…”

Section: Nonlinear Reconstructionmentioning

confidence: 99%

Physics-based reconstruction methods for magnetic resonance imaging

Wang

Tan

Scholand

et al. 2021

Phil. Trans. R. Soc. A.

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Conventional magnetic resonance imaging (MRI) is hampered by long scan times and only qualitative image contrasts that prohibit a direct comparison between different systems. To address these limitations, model-based reconstructions explicitly model the physical laws that govern the MRI signal generation. By formulating image reconstruction as an inverse problem, quantitative maps of the underlying physical parameters can then be extracted directly from efficiently acquired k-space signals without intermediate image reconstruction—addressing both shortcomings of conventional MRI at the same time. This review will discuss basic concepts of model-based reconstructions and report on our experience in developing several model-based methods over the last decade using selected examples that are provided complete with data and code. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’.

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Section: Nonlinear Reconstructionmentioning

confidence: 99%

Physics-based reconstruction methods for magnetic resonance imaging

Wang

Tan

Scholand

et al. 2021

Phil. Trans. R. Soc. A.

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“…It consists of three repeated blocks: (1) non-selective inversion (2) a continuous radial FLASH readout using a tiny golden-angle (≈ 23.63 • ) [26] with a 3-s duration (3) and a time delay (T 1 recovery) before the inversion in the next repetition. In previous studies using multiple inversions [27,28], the delay time was set long enough to ensure a full recovery of longitudinal magnetization so that T 1 can still be calculated using the conventional Look-Locker formula [29,30]. However, a full recovery may need as long as 5 seconds for cardiac T 1 mapping, which prolongs the total acquisition time.…”

Section: Theory Sequence Design and T 1 Estimation From Incomplete Re...mentioning

confidence: 99%

Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction

Wang

Rosenzweig²,

Roeloffs³

et al. 2021

Preprint

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Purpose: To develop a free-breathing myocardial T1 mapping technique using free-running inversion-recovery (IR) radial fast low-angle shot (FLASH) and calibrationless motion-resolved model-based reconstruction. Methods: A free-running inversion-recovery radial FLASH sequence is used for data acquisition at 3T. To reduce the waiting time between inversions, a new analytical formula is derived that takes the incomplete T1 recovery into account to achieve an accurate T1 calculation. The respiratory motion signal is estimated from the filtered k-space center using an adapted singular spectrum analysis (SSA-FARY) technique. The cardiac motion signal is recorded using electrocardiography. A motion-resolved model-based reconstruction is used to estimate both parameter and coil sensitivity maps directly from the sorted k-space data. Spatial-temporal total variation, in addition to the spatial sparsity constraints, is applied

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“…The proposed regularized nonlinear model-based reconstruction has been implemented in BART [31], building on previous work on model-based T1 mapping [47,48]. A brief description of the reconstruction procedure is given here.…”

Section: Image Reconstructionmentioning

confidence: 99%

Free-Breathing Liver Fat, $R_2^*$ and $B_0$ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction

Tan¹,

Unterberg‐Buchwald²,

Blumenthal³

et al. 2021

Preprint

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Purpose: To achieve free-breathing quantitative fat and R * 2 mapping of the liver using a generalized model-based iterative reconstruction, dubbed as MERLOT. Methods: For acquisition, we use a multi-echo radial FLASH sequence that acquires multiple echoes with different complementary radial spoke encodings. We investigate real-time single-slice and volumetric multi-echo radial FLASH acquisition. For the latter, the sampling scheme is extended to a volumetric stack-of-stars acquisition. Model-based reconstruction based on generalized nonlinear inversion is used to jointly estimate water, fat, R * 2 , B0 field inhomogeneity, and coil sensitivity maps from the multicoil multi-echo radial spokes. Spatial smoothness regularization is applied onto the B0 field and coil sensitivity maps, whereas joint sparsity regularization is employed for the other parameter maps. The method integrates calibration-less parallel imaging and compressed sensing and was implemented in BART. For the volumetric acquisition, the respiratory motion is resolved with self-gating using SSA-FARY. The quantitative accuracy

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Model‐based reconstruction for simultaneous multi‐slice mapping using single‐shot inversion‐recovery radial FLASH

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 22 publications

References 52 publications

Physics-based reconstruction methods for magnetic resonance imaging

Physics-based reconstruction methods for magnetic resonance imaging

Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction

Free-Breathing Liver Fat, $R_2^*$ and $B_0$ Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction

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