Myocardial T1 mapping for patients with implanted cardiac devices using wideband inversion recovery spoiled gradient echo readout

Shao, Jiaxin; Rashid, Shams; Renella, Pierangelo; Nguyen, Kim‐Lien; Hu, Peng

doi:10.1002/mrm.26223

Cited by 26 publications

(21 citation statements)

References 34 publications

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“…Furthermore, the FLASH imaging readouts as used in the proposed MB acquisition substantially compromise the accuracy in commonly used inversion recovery T 1 mapping sequences. Although tailored reconstruction schemes have been proposed to mitigate this effect , MB inversion recovery T 1 mapping is beyond the scope of this study, but this method warrants further investigation.…”

Section: Discussionmentioning

confidence: 99%

Simultaneous multislice imaging for native myocardial T₁ mapping: Improved spatial coverage in a single breath-hold

et al. 2017

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Purpose To develop a saturation-recovery myocardial T1-mapping method for the simultaneous multi-slice acquisition of three slices. Methods Saturation Pulse-Prepared Heart-Rate Independent Inversion Recovery (SAPPHIRE) T1-mapping was implemented with simultaneous multi-slice imaging using FLASH readouts for faster coverage of the myocardium. Controlled aliasing in parallel imaging (CAIPI) was used to achieve minimal noise amplification in three slices. Multi-band reconstruction was performed using three linear reconstruction methods: Slice- and in-plane GRAPPA; CG-SENSE; and Tikhonov-regularized CG-SENSE. Accuracy, spatial variability and inter-slice leakage were compared with single-band T1-mapping in a phantom and in six healthy subjects. Results Multi-band phantom T1-times showed good agreement with single-band T1-mapping for all three reconstruction methods (Normalized root-mean-square error<1.0%). Increase in spatial variability compared with single-band imaging was lowest for GRAPPA (1.29-fold), with higher penalties for Tikhonov-regularized CG-SENSE (1.47-fold) and CG-SENSE (1.52-fold). In-vivo multi-band T1-times showed no significant difference compared with single-band (T1-Time±inter-segmental variability: Single-Band: 1580±119ms, GRAPPA: 1572±145ms, CG-SENSE: 1579±159ms, Tikhonov: 1586±150ms; ANOVA: p=0.86). Inter-slice leakage was smallest for GRAPPA (5.4%), and higher for CG-SENSE (6.2%) and Tikhonov-regularized CG-SENSE (7.9%). Conclusion Multi-band accelerated myocardial T1-mapping demonstrated the potential for single-breath hold T1-quantification in 16 AHA segments over 3 slices. 1.2 to 1.4-fold higher in-vivo spatial variability was observed, where GRAPPA-based reconstruction showed the highest homogeneity and the least inter-slice leakage.

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Section: Discussionmentioning

confidence: 99%

Simultaneous multislice imaging for native myocardial T₁ mapping: Improved spatial coverage in a single breath-hold

et al. 2017

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“…). Another sequence employing a wideband inversion recovery spoiled gradient echo readout has also been described …”

Section: New Applications Of T1 Mappingmentioning

confidence: 99%

Cardiac T₁ mapping: Techniques and applications

Aherne

Chow

Carr

2019

Magnetic Resonance Imaging

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A key advantage of cardiac magnetic resonance (CMR) imaging over other cardiac imaging modalities is the ability to perform detailed tissue characterization. CMR techniques continue to evolve, with advanced imaging sequences being developed to provide a reproducible, quantitative method of tissue interrogation. The T 1 mapping technique, a pixel-by-pixel method of quantifying T 1 relaxation time of soft tissues, has been shown to be promising for characterization of diseased myocardium in a wide variety of cardiomyopathies. In this review, we describe the basic principles and common techniques for T 1 mapping and its use for native T 1 , postcontrast T 1 , and extracellular volume mapping. We will review a wide range of clinical applications of the technique that can be used for identification and quantification of myocardial edema, fibrosis, and infiltrative diseases with illustrative clinical examples. In addition, we will explore the current limitations of the technique and describe some areas of ongoing development. Level of Evidence: 5 Technical Efficacy: Stage 2

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“…A similar reduction of inversion factor in vivo has been found in previous studies (19,20). The greatly reduced inversion factor in vivo was not due to the body size of the volunteer, as the in vivo inversion factor had a very narrow range of 0.87-0.89 despite the wide range of body weight of the subjects (50-102 kg).…”

Section: Discussionmentioning

confidence: 99%

Accuracy, precision, and reproducibility of myocardial T1 mapping: A comparison of four T1 estimation algorithms for modified look‐locker inversion recovery (MOLLI)

Shao

Liu

Sung

et al. 2016

Magnetic Resonance in Med

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Purpose To compare the accuracy and precision of four different T1 estimation algorithms for MOLLI. Methods Four T1 estimation algorithms, including the original fit, Inversion group(IG) fit, Instantaneous signal loss simulation(InSiL) and Bloch equation simulation with slice profile correction(BLESSPC) were studied. T1 estimation accuracy, precision, reproducibility and sensitivity to heart rate(HR), flip angle(FA) and acquisition scheme(AcS) variations were compared in simulation, phantom, and volunteer studies. Results T1 estimation accuracy of IG (−2.4%±3.9%) and original fit (−3.2%±1.4%) were worse than BLESSPC (0.2%±1.5%) and InSiL (−0.7%±2.1%). The original fit had the best precision for T1 from 409ms-1884ms for the same FA (0.67%±0.16% vs. 0.90%±0.23% using IG, 0.78%±0.11% using InSiL, 0.77%±0.12% using BLESSPC). BLESSPC generated the most consistent in vivo T1 values over different FAs and AcS, and the T1 estimation reproducibility was similar (p>0.3) among the four methods when FA=35°. When using FA=50°, the reproducibility was significantly improved only when using BLESSPC (1.6%±0.9 vs. 2.6%±1.9%, p<0.05). Conclusion BLESSPC has superior accuracy and is the least sensitive to FA, HR, and AcS variations. T1 estimation using BLESSPC and FA=50° is superior to conventional MOLLI with FA=35° in accuracy and precision. Further clinical studies in varying pathological conditions are warranted to confirm our findings.

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Myocardial T1 mapping for patients with implanted cardiac devices using wideband inversion recovery spoiled gradient echo readout

Abstract: This study demonstrates the feasibility of using Wideband-FLASH-MOLLI to mitigate image artifacts and to produce accurate myocardial T1 maps in patients with ICDs. Magn Reson Med 77:1495-1504, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Cited by 26 publications

References 34 publications

Simultaneous multislice imaging for native myocardial T₁ mapping: Improved spatial coverage in a single breath-hold

Simultaneous multislice imaging for native myocardial T₁ mapping: Improved spatial coverage in a single breath-hold

Cardiac T₁ mapping: Techniques and applications

Accuracy, precision, and reproducibility of myocardial T1 mapping: A comparison of four T1 estimation algorithms for modified look‐locker inversion recovery (MOLLI)

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Myocardial T1 mapping for patients with implanted cardiac devices using wideband inversion recovery spoiled gradient echo readout

Abstract: This study demonstrates the feasibility of using Wideband-FLASH-MOLLI to mitigate image artifacts and to produce accurate myocardial T1 maps in patients with ICDs. Magn Reson Med 77:1495-1504, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Cited by 26 publications

References 34 publications

Simultaneous multislice imaging for native myocardial T1 mapping: Improved spatial coverage in a single breath-hold

Simultaneous multislice imaging for native myocardial T1 mapping: Improved spatial coverage in a single breath-hold

Cardiac T1 mapping: Techniques and applications

Accuracy, precision, and reproducibility of myocardial T1 mapping: A comparison of four T1 estimation algorithms for modified look‐locker inversion recovery (MOLLI)

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Product

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Simultaneous multislice imaging for native myocardial T₁ mapping: Improved spatial coverage in a single breath-hold

Simultaneous multislice imaging for native myocardial T₁ mapping: Improved spatial coverage in a single breath-hold

Cardiac T₁ mapping: Techniques and applications