使用 GRAPPA 和压缩感知的 4D 流 MRI 加速序列:与常规 MRI 和计算流体动力学的比较。
Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing: A comparison against conventional MRI and computational fluid dynamics.
机构信息
University of Montpellier, CNRS, Montpellier, France.
Spin Up, ALARA Group, Strasbourg, France.
出版信息
Magn Reson Med. 2022 Dec;88(6):2432-2446. doi: 10.1002/mrm.29404. Epub 2022 Aug 25.
PURPOSE
To evaluate hemodynamic markers obtained by accelerated GRAPPA (R = 2, 3, 4) and compressed sensing (R = 7.6) 4D flow MRI sequences under complex flow conditions.
METHODS
The accelerated 4D flow MRI scans were performed on a pulsatile flow phantom, along with a nonaccelerated fully sampled k-space acquisition. Computational fluid dynamics simulations based on the experimentally measured flow fields were conducted for additional comparison. Voxel-wise comparisons (Bland-Altman analysis, -norm metric), as well as nonderived quantities (velocity profiles, flow rates, and peak velocities), were used to compare the velocity fields obtained from the different modalities.
RESULTS
4D flow acquisitions and computational fluid dynamics depicted similar hemodynamic patterns. Voxel-wise comparisons between the MRI scans highlighted larger discrepancies at the voxels located near the phantom's boundary walls. A trend for all MR scans to overestimate velocity profiles and peak velocities as compared to computational fluid dynamics was noticed in regions associated with high velocity or acceleration. However, good agreement for the flow rates was observed, and eddy-current correction appeared essential for consistency of the flow rates measurements with respect to the principle of mass conservation.
CONCLUSION
GRAPPA (R = 2, 3) and highly accelerated compressed sensing showed good agreement with the fully sampled acquisition. Yet, all 4D flow MRI scans were hampered by artifacts inherent to the phase-contrast acquisition procedure. Computational fluid dynamics simulations are an interesting tool to assess these differences but are sensitive to modeling parameters.
目的
评估复杂流动条件下通过加速 GRAPPA(R=2、3、4)和压缩感知(R=7.6)的 4D 流 MRI 序列获得的血流动力学指标。
方法
在脉动流体模上进行加速 4D 流 MRI 扫描,并与完全采样的 k 空间采集进行比较。还进行了基于实验测量流场的计算流体动力学模拟以进行额外比较。使用体素级比较(Bland-Altman 分析, -范数度量)和非衍生量(速度分布、流量和峰值速度)来比较不同模式获得的速度场。
结果
4D 流量采集和计算流体动力学描绘了相似的血流动力学模式。MRI 扫描之间的体素级比较突出了位于体模边界壁附近的体素处的较大差异。注意到所有 MR 扫描都倾向于高估与计算流体动力学相比的速度分布和峰值速度,特别是在与高速度或加速度相关的区域。然而,观察到流量的良好一致性,并且涡流校正对于流量测量与质量守恒原理的一致性至关重要。
结论
GRAPPA(R=2、3)和高度加速的压缩感知与完全采样采集具有良好的一致性。然而,所有 4D 流 MRI 扫描都受到与相位对比采集过程相关的固有伪影的限制。计算流体动力学模拟是评估这些差异的有趣工具,但对建模参数敏感。