首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Time‐optimized 4D phase contrast MRI with real‐time convex optimization of gradient waveforms and fast excitation methods
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Time‐optimized 4D phase contrast MRI with real‐time convex optimization of gradient waveforms and fast excitation methods

机译:时间优化的4D相位对比度MRI具有梯度波形的实时凸面优化和快速激励方法

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Purpose To shorten 4D flow acquisitions by shortening TRs with fast RF pulses and gradient waveforms. Real‐time convex optimization is used to generate these gradients waveforms on the scanner. Theory and Methods RF and slab‐select waveforms were shortened with a minimum phase SLR excitation and the time‐optimal variable‐rate selective excitation method. Real‐time convex optimization was used to shorten bipolar and spoiler gradients by finding the shortest gradient waveforms that satisfied constraints on scan parameters, gradient hardware, M 0 , M 1 , and peripheral nerve stimulation. Waveforms were calculated and TE and/or TR values were compared for a range of scan parameters and compared to a conventional 4D flow sequence. The method was tested in flow phantoms, and in the aorta and neurovasculature of volunteers ( N = 10). Additionally, eddy current error was measured in a large phantom. Results TEs and TRs were shortened by 21–32% and 20–34%, respectively, compared to the conventional sequence over a range of scan parameters. Bland‐Altman analysis of 2 flow phantom configurations showed flow rate bias of 0.3 mL/s and limits of agreement (LOA) of [?6.9, 7.5] mL/s for a cardiac phantom and a bias of ?0.1 mL/s with LOA = [?0.4, 0.2] mL/s for a neuro phantom. Similar agreement was also seen for flow measurements in volunteers (bias = ?1.0 and ?0.1 mL/s, LOA = [?34.9, 33.0] and [?0.7, 0.6] mL/s). Measured eddy currents were 39% larger with the CVX + mpVERSE method. Conclusion The real‐time optimized 4D flow gradients and fast slab‐selection excitation methods produced up to 34% faster TRs with excellent flow measurement agreement compared to a conventional 4D flow sequence.
机译:目的通过用快速RF脉冲和梯度波形缩短TRS来缩短4D流程。实时凸优化用于在扫描仪上生成这些渐变波形。用最小相单反激励和最优可变速率选择性激励方法,缩短了理论和方法RF和Slab-Select波形。实时凸优化用于通过找到满足扫描参数,梯度硬件,M 0,M 1和外围神经刺激的最短渐变波形来缩短双极和扰流梯度。计算波形,并将TE和/或TR值与一系列扫描参数进行比较,并与传统的4D流量序列进行比较。该方法在流动映像中测试,并在志愿者的主动脉和神经血管系统中进行测试(n = 10)。此外,涡流误差在大型体内测量。结果,与一系列扫描参数相比,结果分别缩短21-32%和20-34%。 Bland-Altman分析2个流动模型配置,显示出0.3 ml / s的流量偏差,以及用于心脏幻影的[α.6.9,7.5] ml / s的协议(LOA)的限制,以及带有LOA的0.1 ml / s的偏差用于神经幻影的[α0.4,0.2] ml / s。还可以看出类似的协议,用于志愿者的流量测量(偏压=α1.0和α.01m/ s,LOA = [34.9,33.0]和[α0.7,0.6] mL / s)。通过CVX + MPVerse方法,测量的涡流较大39%。结论与传统的4D流量序列相比,实时优化的4D流量梯度和快速平板选择励磁方法高达34%的TRS,具有出色的流量测量协议。

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