Cardiac MRF using rosette trajectories for simultaneous myocardial T1, T2, and proton density fat fraction mapping

Liu, Yu-Chi; Hamilton, Jesse; Jiang, Yun; Seiberlich, Nicole

doi:10.3389/fcvm.2022.977603

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…Table 2 summarizes several studies that have validated various cardiac MRF techniques against conventional cardiac mapping techniques 147,148,153–159,162,163 . Generally, although absolute T1 and T2 values differ between MRF-derived mapping and conventional mapping, there is good correlation between MRF and conventional mapping sequences in all studies.…”

Section: Current Clinical Applicationsmentioning

confidence: 99%

“…These include T1rho, T2*, postcontrast ECV mapping, and FF from either a water-fat DIXON sequence or rosette trajectory for water-fat separation. [157][158][159][160][161][162] Table 2 summarizes several studies that have validated various cardiac MRF techniques against conventional cardiac mapping techniques. 147,148,[153][154][155][156][157][158][159]162,163 Generally, although absolute T1 and T2 values differ between MRF-derived mapping and conventional mapping, there is good correlation between MRF and conventional mapping sequences in all studies.…”

Section: Cardiac Imagingmentioning

confidence: 99%

“…Finally, while many studies have focused on T1 and T2 mapping, additional tissue properties of interest in cardiac diseases have also been investigated. These include T1rho, T2*, postcontrast ECV mapping, and FF from either a water-fat DIXON sequence or rosette trajectory for water-fat separation 157–162 …”

Section: Current Clinical Applicationsmentioning

confidence: 99%

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Magnetic Resonance Fingerprinting

et al. 2023

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Magnetic Resonance (MR) is an exceptionally powerful and versatile measurement technique. The basic structure of an MR experiment has remained nearly constant for almost 50 years. Here we introduce a novel paradigm, Magnetic Resonance Fingerprinting (MRF) that permits the noninvasive quantification of multiple important properties of a material or tissue simultaneously through a new approach to data acquisition, post-processing and visualization. MRF provides a new mechanism to quantitatively detect and analyze complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to specifically identify the presence of a target material or tissue, which will increase the sensitivity, specificity, and speed of an MR study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern recognition algorithm, MRF inherently suppresses measurement errors and thus can improve accuracy compared to previous approaches.

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Section: Current Clinical Applicationsmentioning

confidence: 99%

Section: Cardiac Imagingmentioning

confidence: 99%

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Magnetic Resonance Fingerprinting

et al. 2023

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Cardiac MR Fingerprinting: Overview, Technical Developments, and Applications

Rashid,

Cruz,

Seiberlich

et al. 2023

Magnetic Resonance Imaging

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Cardiovascular magnetic resonance (CMR) is an established imaging modality with proven utility in assessing cardiovascular diseases. The ability of CMR to characterize myocardial tissue using T1‐ and T2‐weighted imaging, parametric mapping, and late gadolinium enhancement has allowed for the non‐invasive identification of specific pathologies not previously possible with modalities like echocardiography. However, CMR examinations are lengthy and technically complex, requiring multiple pulse sequences and different anatomical planes to comprehensively assess myocardial structure, function, and tissue composition. To increase the overall impact of this modality, there is a need to simplify and shorten CMR exams to improve access and efficiency, while also providing reproducible quantitative measurements. Multiparametric MRI techniques that measure multiple tissue properties offer one potential solution to this problem. This review provides an in‐depth look at one such multiparametric approach, cardiac magnetic resonance fingerprinting (MRF). The article is structured as follows. First, a brief review of single‐parametric and (non‐Fingerprinting) multiparametric CMR mapping techniques is presented. Second, a general overview of cardiac MRF is provided covering pulse sequence implementation, dictionary generation, fast k‐space sampling methods, and pattern recognition. Third, recent technical advances in cardiac MRF are covered spanning a variety of topics, including simultaneous multislice and 3D sampling, motion correction algorithms, cine MRF, synthetic multicontrast imaging, extensions to measure additional clinically important tissue properties (proton density fat fraction, T2*, and T1ρ), and deep learning methods for image reconstruction and parameter estimation. The last section will discuss potential clinical applications, concluding with a perspective on how multiparametric techniques like MRF may enable streamlined CMR protocols.Level of Evidence5Technical EfficacyStage 1

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Fast and motion‐robust saturation transfer MRI with inherent B₀ correction using rosette trajectories and compressed sensing

Mahmud,

Singh,

van Zijl

et al. 2024

Magnetic Resonance in Med

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PurposeTo implement rosette readout trajectories with compressed sensing reconstruction for fast and motion‐robust CEST and magnetization transfer contrast imaging with inherent correction of B0 inhomogeneity.MethodsA pulse sequence was developed for fast saturation transfer imaging using a stack of rosette trajectories with a higher sampling density near the k‐space center. Each rosette lobe was segmented into two halves to generate dual‐echo images. B0 inhomogeneities were estimated using the phase difference between the images and corrected subsequently. The rosette‐based imaging was evaluated in comparison to a fully sampled Cartesian trajectory and demonstrated on CEST phantoms (creatine solutions and egg white) and healthy volunteers at 3 T.ResultsCompared with the conventional Cartesian acquisition, compressed sensing reconstructed rosette images provided image quality with overall higher contrast‐to‐noise ratio and significantly faster readout time. Accurate B0 map estimation was achieved from the rosette acquisition with a negligible bias of 0.01 Hz between the rosette and dual‐echo Cartesian gradient echo B0 maps, using the latter as ground truth. The water‐saturation spectra (Z‐spectra) and amide proton transfer weighted signals obtained from the rosette‐based sequence were well preserved compared with the fully sampled data, both in the phantom and human studies.ConclusionsFast, motion‐robust, and inherent B0‐corrected CEST and magnetization transfer contrast imaging using rosette trajectories could improve subject comfort and compliance, contrast‐to‐noise ratio, and provide inherent B0 homogeneity information. This work is expected to significantly accelerate the translation of CEST‐MRI into a robust, clinically viable approach.

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Cardiac MRF using rosette trajectories for simultaneous myocardial T1, T2, and proton density fat fraction mapping

Cited by 5 publications

References 32 publications

Magnetic Resonance Fingerprinting

Magnetic Resonance Fingerprinting

Cardiac MR Fingerprinting: Overview, Technical Developments, and Applications

Fast and motion‐robust saturation transfer MRI with inherent B₀ correction using rosette trajectories and compressed sensing

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Cardiac MRF using rosette trajectories for simultaneous myocardial T1, T2, and proton density fat fraction mapping

Cited by 5 publications

References 32 publications

Magnetic Resonance Fingerprinting

Magnetic Resonance Fingerprinting

Cardiac MR Fingerprinting: Overview, Technical Developments, and Applications

Fast and motion‐robust saturation transfer MRI with inherent B0 correction using rosette trajectories and compressed sensing

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Product

Resources

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Fast and motion‐robust saturation transfer MRI with inherent B₀ correction using rosette trajectories and compressed sensing