Targeted rapid knee MRI exam using T<sub>2</sub> shuffling

Tamir, Jonathan I.; Taviani, Valentina; Alley, Marcus T.; Perkins, Becki C.; Hart, Lori S.; O’Brien, Kendall; Wishah, Fidaa; Sandberg, Jesse K.; Anderson, Michael J.; Turek, Javier S.; Willke, Theodore L.; Lustig, Michael; Vasanawala, Shreyas S.

doi:10.1002/jmri.26600

Cited by 15 publications

(14 citation statements)

References 26 publications

(47 reference statements)

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“…To reconstruct the highly-undersampled multi-echo multi-FA data acquired by 3D vFA-EPTI acquisition, a joint subspace reconstruction framework is developed in this study. The low-rank subspace method Liang (2007) is a powerful approach that has enabled good reconstruction for highly undersampled k-t data across a number of MR applications ( Dong et al, 2020 ; Guo et al, 2019 ; Guo et al, 2020 ; Lam and Liang, 2014 ; Meng et al, 2020 ; Peng et al, 2018 ; Tamir et al, 2019 ). The subspace approach has also been used to obtain simultaneous acquisition of metabolites, myelin water fraction and tissue susceptibility recently ( Li et al, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging

et al. 2021

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Myelin water imaging techniques based on multi-compartment relaxometry have been developed as an important tool to measure myelin concentration in vivo, but are limited by the long scan time of multi-contrast multi-echo acquisition. In this work, a fast imaging technique, termed variable flip angle Echo Planar Time-Resolved Imaging (vFA-EPTI), is developed to acquire multi-echo and multi-flip-angle gradient-echo data with significantly reduced acquisition time, providing rich information for multi-compartment analysis of gradient-echo myelin water imaging (GRE-MWI). The proposed vFA-EPTI method achieved 26 folds acceleration with good accuracy by utilizing an efficient continuous readout, optimized spatiotemporal encoding across echoes and flip angles, as well as a joint subspace reconstruction. An approach to estimate off-resonance field changes between different flip-angle acquisitions was also developed to ensure high-quality joint reconstruction across flip angles. The accuracy of myelin water fraction (MWF) estimate under high acceleration was first validated by a retrospective undersampling experiment using a lengthy fully-sampled data as reference. Prospective experiments were then performed where whole-brain MWF and multi-compartment quantitative maps were obtained in 5 min at 1.5 mm isotropic resolution and 24 min at 1 mm isotropic resolution at 3T. Additionally, ultra-high resolution data at 600 μm isotropic resolution were acquired at 7T, which show detailed structures within the cortex such as the line of Gennari, demonstrating the ability of the proposed method for submillimeter GRE-MWI that can be used to study cortical myeloarchitecture in vivo .

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Section: Methodsmentioning

confidence: 99%

Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging

et al. 2021

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“…A 7‐minute T 2 ‐Shuffling sequence (with 0.55 × 0.55 × 0.6 mm resolution) has been shown to have high concordance with conventional imaging for diagnostic pediatric knee MRI 39 . This technique has shown promise for prospective targeted imaging protocols 40 …”

Section: Morphological Imagingmentioning

confidence: 99%

“…39 This technique has shown promise for prospective targeted imaging protocols. 40 Similarly, the quantitative double-echo steady-state (qDESS) is an alternative approach for rapid 3D morphological imaging. An extension of balanced steady-state free precession, qDESS generates two echoes.…”

Section: Novel 3d Mri Approachesmentioning

confidence: 99%

Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Chaudhari

Kogan

Pedoia

et al. 2019

Magnetic Resonance Imaging

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Osteoarthritis (OA) of the knee is a major source of disability that has no known treatment or cure. Morphological and compositional MRI is commonly used for assessing the bone and soft tissues in the knee to enhance the understanding of OA pathophysiology. However, it is challenging to extend these imaging methods and their subsequent analysis techniques to study large population cohorts due to slow and inefficient imaging acquisition and postprocessing tools. This can create a bottleneck in assessing early OA changes and evaluating the responses of novel therapeutics. The purpose of this review article is to highlight recent developments in tools for enhancing the efficiency of knee MRI methods useful to study OA. Advances in efficient MRI data acquisition and reconstruction tools for morphological and compositional imaging, efficient automated image analysis tools, and hardware improvements to further drive efficient imaging are discussed in this review. For each topic, we discuss the current challenges as well as potential future opportunities to alleviate these challenges. Level of Evidence 5 Technical Efficacy Stage 3

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“…Additionally, the subspace can account for more complicated image artifacts and sequence imperfections such as B 1 inhomogeneity 24 through modeling the effects into the forward signal model. The good performance and flexibility of subspace-based reconstruction is leveraged in many applications including spectroscopic imaging, [35][36][37] T 2 -weighted knee imaging, 24,38 quantitative brain 34,39 and cardiac imaging. 40,41 In conventional EPTI, a GRAPPA-like B 0 -informed parallel imaging reconstruction is used to exploit the signal correlation along the temporal, spatial and coil dimensions to recover missing data-points in k-t space.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the subspace can account for more complicated image artifacts and sequence imperfections such as B1 inhomogeneity (24) through modeling the effects into the forward signal model. The good performance and flexibility of subspacebased reconstruction is leveraged in many applications including spectroscopic imaging (35)(36)(37), T2weighted knee imaging (24,38), quantitative brain (34,39) and cardiac imaging (40,41).…”

Section: Introductionmentioning

confidence: 99%

Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding

Dong

Wang

Reese

et al. 2020

Magnetic Resonance in Med

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Purpose: To develop new encoding and reconstruction techniques for fast multi-contrast/quantitative imaging. Methods:The recently proposed Echo Planar Time-resolved Imaging (EPTI) technique can achieve fast distortion-and blurring-free multi-contrast/quantitative imaging. In this work, a subspace reconstruction framework is developed to improve the reconstruction accuracy of EPTI at high encoding accelerations. The number of unknowns in the reconstruction is significantly reduced by modeling the temporal signal evolutions using low-rank subspace. As part of the proposed reconstruction approach, a B0-update algorithm and a shot-to-shot B0 variation correction method are developed to enable the reconstruction of high-resolution tissue phase images and to mitigate artifacts from shot-to-shot phase variations. Moreover, the EPTI concept is extended to 3D k-space for 3D GE-EPTI, where a new 'temporal-variant' of CAIPI encoding is proposed to further improve performance. Results:The effectiveness of the proposed subspace reconstruction was demonstrated first in 2D GESE EPTI, where the reconstruction achieved higher accuracy when compared to conventional B0-informed GRAPPA. For 3D GE-EPTI, a retrospective undersampling experiment demonstrates that the new temporal-variant CAIPI encoding can achieve up to 72× acceleration with close to 2× reduction in reconstruction error when compared to conventional spatiotemporal-CAIPI encoding. In a prospective undersampling experiment, high-quality whole-brain T2 * and QSM maps at 1 mm isotropic resolution was acquired in 52 seconds at 3T using 3D GE-EPTI with temporal-variant CAIPI encoding. Conclusion:The proposed subspace reconstruction and optimized temporal-variant CAIPI encoding can further improve the performance of EPTI for fast quantitative mapping.

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Targeted rapid knee MRI exam using T₂ shuffling

Cited by 15 publications

References 26 publications

Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging

Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging

Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding

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Targeted rapid knee MRI exam using T2 shuffling

Cited by 15 publications

References 26 publications

Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging

Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging

Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding

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Targeted rapid knee MRI exam using T₂ shuffling