Free-running cardiac magnetic resonance fingerprinting: Joint T1/T2 map and Cine imaging

Jaubert, Olivier; Cruz, Gastão; Bustin, Aurélien; Schneider, Torben; Koken, Peter; Doneva, Mariya; Rueckert, Daniel; Botnar, René M.; Prieto, Claudia

doi:10.1016/j.mri.2020.02.005

Cited by 42 publications

(72 citation statements)

References 46 publications

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“…Additionally, quantitative maps cannot be calculated rapidly (eg, <10-15 minutes), because relatively complex and time-consuming processing is required to incorporate scan-specific heart-rate variations after each scan or to reconstruct images acquired with specified undersampling patterns. 35,36 In this study, we sought to develop a free-breathing Multislice Joint T 1 -T 2 mapping sequence with complete LV coverage using saturation and T 2 preparation, slice tracking, and interleaved acquisition of different slices. Multislice Joint T 1 and T 2 was validated by numerical simulations, phantoms, and human subject experiments (13 healthy subjects and 15 patients) at 3 T. Saturation-recovery single-shot acquisition (SASHA) and T 2 -prepared balanced Steady-State Free Precession(T 2 -prepSSFP) sequences were used for comparison of T 1 and T 2 mapping, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…However, these approaches are still limited to a single slice. Additionally, quantitative maps cannot be calculated rapidly (eg, <10‐15 minutes), because relatively complex and time‐consuming processing is required to incorporate scan‐specific heart‐rate variations after each scan or to reconstruct images acquired with specified undersampling patterns 35,36 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Free‐breathing simultaneous myocardial T₁ and T₂ mapping with whole left ventricle coverage

Guo

Cai

Küçükseymen

et al. 2020

Magnetic Resonance in Med

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simultaneous measurement of myocardial T 1 and T 2 for multiple slices to achieve whole left-ventricular coverage. Methods: Multislice Joint T 1-T 2 adopts slice-interleaved acquisition to collect 10 single-shot electrocardiogram-triggered images for each slice prepared by saturation and T 2 preparation to simultaneously estimate myocardial T 1 and T 2 and achieve whole left-ventricular coverage. Prospective slice-tracking using a respiratory navigator and retrospective image registration are used to reduce through-plane and in-plane motion, respectively. Multislice Joint T 1-T 2 was validated through numerical simulations and phantom and in vivo experiments, and compared with saturation-recovery single-shot acquisition and T 2-prepared balanced Steady-State Free Precession (T 2-prep SSFP) sequences. Results: Phantom T 1 and T 2 from Multislice Joint T 1-T 2 had good accuracy and precision, and were insensitive to heart rate. Multislice Joint T 1-T 2 yielded T 1 and T 2 maps of nine left-ventricular slices in 1.4 minutes. The mean left-ventricular T 1 difference between saturation-recovery single-shot acquisition and Multislice Joint T 1-T 2 across healthy subjects and patients was 191 ms (1564 ± 60 ms versus 1373 ± 50 ms; P < .05) and 111 ms (1535 ± 49 ms vs 1423 ± 49 ms; P < .05), respectively. The mean difference in left-ventricular T 2 between T 2-prep SSFP and Multislice Joint T 1-T 2 across healthy subjects and patients was −6.3 ms (42.4 ± 1.4 ms vs 48.7 ± 2.5; P < .05) and −5.7 ms (41.6 ± 2.5 ms vs 47.3 ± 2.7; P < .05), respectively. Conclusion: Multislice Joint T 1-T 2 enables quantification of whole left-ventricular T 1 and T 2 during free breathing within a clinically feasible scan time of less than 2 minutes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Free‐breathing simultaneous myocardial T₁ and T₂ mapping with whole left ventricle coverage

Guo

Cai

Küçükseymen

et al. 2020

Magnetic Resonance in Med

View full text Add to dashboard Cite

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“…HD-PROST has been successfully applied to multi-contrast CMR, including accelerated free-breathing 3D high-resolution myocardial T2 [54] and T1ρ [14] mapping. HD-PROST has also been combined with LRI for cardiac MRF methods [55][56][57][58], such as water-fat Dixon cardiac MRF [58] and 3D free-breathing cardiac MRF [55], as well as free-running 3D myocardial T1/T2 mapping [24,59]. Example water-fat images and parametric maps from Dixon cardiac MRF are shown in figure 5.…”

Section: (Ii) Low-rank Tensormentioning

confidence: 99%

Synergistic multi-contrast cardiac magnetic resonance image reconstruction

Cruz

Botnar

et al. 2021

Phil. Trans. R. Soc. A.

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Cardiac magnetic resonance imaging (CMR) is an important tool for the non-invasive diagnosis of a variety of cardiovascular diseases. Parametric mapping with multi-contrast CMR is able to quantify tissue alterations in myocardial disease and promises to improve patient care. However, magnetic resonance imaging is an inherently slow imaging modality, resulting in long acquisition times for parametric mapping which acquires a series of cardiac images with different contrasts for signal fitting or dictionary matching. Furthermore, extra efforts to deal with respiratory and cardiac motion by triggering and gating further increase the scan time. Several techniques have been developed to speed up CMR acquisitions, which usually acquire less data than that required by the Nyquist–Shannon sampling theorem, followed by regularized reconstruction to mitigate undersampling artefacts. Recent advances in CMR parametric mapping speed up CMR by synergistically exploiting spatial–temporal and contrast redundancies. In this article, we will review the recent developments in multi-contrast CMR image reconstruction for parametric mapping with special focus on low-rank and model-based reconstructions. Deep learning-based multi-contrast reconstruction has recently been proposed in other magnetic resonance applications. These developments will be covered to introduce the general methodology. Current technical limitations and potential future directions are discussed. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’.

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“…Recent explorations into multi-dimensional and self-gated imaging have pushed the boundaries of "conventional" cardiac imaging towards more efficient scan times and operator ease-of-use. [14][15][16][17][18][19][20][21][22][23][24] Recently, a fully self-gated free-running 5D flow framework was introduced. 19,21,23,25,26 This framework featured a continuous, free-running, 3D radial sequence, with interleaved three-directional velocity encoding as well as inherent self-gating projections to encode cardiac and respiratory motion without external gating signals.…”

Section: Introductionmentioning

confidence: 99%

“…However, current techniques are suboptimal in this context, as 4D flow techniques average data over multiple heart cycles, which prevents investigation of the effects of arrhythmic heartbeats and variable RR‐interval on atrial flow characteristics. Recent explorations into multi‐dimensional and self‐gated imaging have pushed the boundaries of “conventional” cardiac imaging towards more efficient scan times and operator ease‐of‐use 14‐24 …”

Section: Introductionmentioning

confidence: 99%

Using 5D flow MRI to decode the effects of rhythm on left atrial 3D flow dynamics in patients with atrial fibrillation

Yerly

Sopra

et al. 2021

Magnetic Resonance in Med

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This study used a 5D flow framework to explore the influence of arrhythmia on thrombogenic hemodynamic parameters in patients with atrial fibrillation (AF). Methods: A fully self-gated, 3D radial, highly accelerated free-running 5D flow sequence with interleaved four-point velocity-encoding was acquired using an in vitro arrhythmic flow phantom and in 25 patients with a history of AF (68 ± 8 y, 6 female). Self-gating signals were used to calculate AF burden, bin data, and tag each k-space line with its RR Length. Data were binned as an RR-resolved dataset with four RR-interval bins (RR1-RR4, short-to-long) for compressed sensing reconstruction. AF burden was calculated as interquartile range of all intrascan RR-intervals divided by median RR-interval, and left atrial (LA) stasis as the percent of the cardiac cycle where the velocity was <0.1 m/s. Results: In vitro results demonstrated successful recovery of RR-binned flow curves using RR-resolved 5D flow compared to a real-time PC reference standard. In vivo, 5D flow was acquired in 8:48 minutes. AF burden was significantly correlated with 5D flow-derived peak (PV) and mean (MV) velocity and stasis (|ρ| = 0.54-0.75, P < .001). Sensitivity analyses determined a threshold for low versus high AF burden at 9.7%. High burden patients had increased LA mean stasis (up to +42%, P < .01), and lower MV and PV (−30%, −40.6%, respectively, P < .01). RR4 deviated furthest from respiratory-resolved reconstruction (end-expiration) with increased mean stasis (7.6% ± 14.0%, P = .10) and decreased PV (−12.7 ± 14.2%, P = .09). Conclusions: RR-resolved 5D flow can capture temporal and RR-resolved 3D hemodynamics in <10 minutes and offers a novel approach to investigate arrhythmias.

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Free-running cardiac magnetic resonance fingerprinting: Joint T1/T2 map and Cine imaging

Cited by 42 publications

References 46 publications

Free‐breathing simultaneous myocardial T₁ and T₂ mapping with whole left ventricle coverage

Free‐breathing simultaneous myocardial T₁ and T₂ mapping with whole left ventricle coverage

Synergistic multi-contrast cardiac magnetic resonance image reconstruction

Using 5D flow MRI to decode the effects of rhythm on left atrial 3D flow dynamics in patients with atrial fibrillation

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Free-running cardiac magnetic resonance fingerprinting: Joint T1/T2 map and Cine imaging

Cited by 42 publications

References 46 publications

Free‐breathing simultaneous myocardial T1 and T2 mapping with whole left ventricle coverage

Free‐breathing simultaneous myocardial T1 and T2 mapping with whole left ventricle coverage

Synergistic multi-contrast cardiac magnetic resonance image reconstruction

Using 5D flow MRI to decode the effects of rhythm on left atrial 3D flow dynamics in patients with atrial fibrillation

Contact Info

Product

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Free‐breathing simultaneous myocardial T₁ and T₂ mapping with whole left ventricle coverage

Free‐breathing simultaneous myocardial T₁ and T₂ mapping with whole left ventricle coverage