Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
MR R&D and Collaborations, Siemens Medical Solutions USA Inc., Chicago, IL, USA.
Magn Reson Med. 2022 Oct;88(4):1643-1658. doi: 10.1002/mrm.29306. Epub 2022 Jun 26.
Dual-velocity encoded (dual-venc or DV) 4D flow MRI achieves wide velocity dynamic range and velocity-to-noise ratio (VNR), enabling accurate neurovascular flow characterization. To reduce scan time, we present interleaved dual-venc 4D Flow with independently prescribed, prospectively undersampled spatial resolution of the high-venc (HV) acquisition: Variable Spatial Resolution Dual Venc (VSRDV).
A prototype VSRDV sequence was developed based on a Cartesian acquisition with eight-point phase encoding, combining PEAK-GRAPPA acceleration with zero-filling in phase and partition directions for HV. The VSRDV approach was optimized by varying z, the zero-filling fraction of HV relative to low-venc, between 0%-80% in vitro (realistic neurovascular model with pulsatile flow) and in vivo (n = 10 volunteers). Antialiasing precision, mean and peak velocity quantification accuracy, and test-retest reproducibility were assessed relative to reference images with equal-resolution HV and low venc (z = 0%).
In vitro results for all z demonstrated an antialiasing true positive rate at least 95% for = 2 and 5, with no linear relationship to z (p = 0.62 and 0.13, respectively). Bland-Altman analysis for z = 20%, 40%, 60%, or 80% versus z = 0% in vitro and in vivo demonstrated no bias >1% of venc in mean or peak velocity values at any . In vitro mean and peak velocity, and in vivo peak velocity, had limits of agreement within 15%.
VSRDV allows up to 34.8% scan time reduction compared to PEAK-GRAPPA accelerated DV 4D Flow MRI, enabling large spatial coverage and dynamic range while maintaining VNR and velocity measurement accuracy.
双流速编码(双速编码或 DV)4D 流 MRI 实现了宽流速动态范围和速度-噪声比(VNR),能够准确地进行神经血管流量特征描述。为了减少扫描时间,我们提出了一种交错的双速编码 4D Flow,具有独立规定的、高速(HV)采集的前瞻性欠采样空间分辨率:可变空间分辨率双速编码(VSRDV)。
基于具有八点相位编码的笛卡尔采集,开发了一种原型 VSRDV 序列,将 PEAK-GRAPPA 加速与 HV 相位和分区方向的零填充相结合。通过在体外(具有脉动流的现实神经血管模型)和体内(n=10 名志愿者)改变 z(HV 相对于低速编码的零填充分数),在 0%-80%之间优化 VSRDV 方法。相对于具有等分辨率 HV 和低速编码(z=0%)的参考图像,评估了去假频精度、平均和峰值速度定量准确性以及测试-重测可重复性。
所有 z 的体外结果均显示,当 =2 和 5 时,去假频的真阳性率至少为 95%,与 z 之间没有线性关系(分别为 p=0.62 和 0.13)。Bland-Altman 分析显示,在体外和体内,z=20%、40%、60%或 80%与 z=0%相比,平均速度或峰值速度的偏差均不超过 1%。在体外平均速度和峰值速度以及体内峰值速度的一致性界限均在 15%以内。
与 PEAK-GRAPPA 加速的 DV 4D Flow MRI 相比,VSRDV 允许扫描时间减少多达 34.8%,同时保持 VNR 和速度测量准确性,实现大空间覆盖范围和动态范围。