The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Magn Reson Med. 2021 Oct;86(4):1917-1928. doi: 10.1002/mrm.28835. Epub 2021 May 12.
The ability to measure cerebral vascular compliance (VC) is important in the evaluation of vascular diseases. Additionally, quantification of arterial wall pulsation in the brain may be useful for understanding the driving force of the recently discovered glymphatic system. Our goal is to develop an MRI technique to measure VC and arterial wall pulsation in major intracranial vessels.
A total of 17 healthy subjects were studied on a 3T MRI system. The technique, called VaCom-PCASL, uses pseudo-continuous arterial spin labeling (PCASL) to obtain pure blood vessel signal, uses a 3D radial acquisition, and applies a golden-angle radial sparse parallel (GRASP) algorithm for image reconstruction. The k-space data were retrospectively sorted into different cardiac phases. The GRASP algorithm allows the reconstruction of 5D (three spatial dimensions, one control/label dimension, and one cardiac-phase dimension) data simultaneously. The proposed technique was optimized in terms of reconstruction parameters and labeling duration. Intracranial VC was compared with aortic pulse wave velocity measured with phase-contrast MRI. Age differences in VC were studied.
The VaCom-PCASL technique using 10 cardiac phases and GRASP sparsity constraints of λ = 0.05 and λ = 0.05 provided the highest contrast-to-noise ratio. A labeling duration of 800 ms was found to yield signals comparable to those of longer duration (P > .2), whereas 400 ms yielded significant overestimation (P < .005). A significant correlation was observed between intracranial VC and aortic pulse wave velocity (r = -0.73, P = .038, N = 8). Vascular compliance in the older group was lower than that in the younger group.
The VaCom-PCASL-MRI technique represents a promising approach for noninvasive assessment of arterial stiffness and pulsatility.
测量脑血管顺应性(VC)的能力在血管疾病的评估中很重要。此外,量化大脑中动脉壁的脉动可能有助于理解最近发现的脑淋巴系统的驱动力。我们的目标是开发一种 MRI 技术来测量颅内主要血管的 VC 和动脉壁脉动。
在 3T MRI 系统上对 17 名健康受试者进行了研究。该技术称为 VaCom-PCASL,使用伪连续动脉自旋标记(PCASL)获得纯血管信号,使用 3D 径向采集,并应用黄金角径向稀疏并行(GRASP)算法进行图像重建。k 空间数据被回顾性地分为不同的心动周期。GRASP 算法允许同时重建 5D(三个空间维度,一个控制/标记维度,一个心动周期维度)数据。该技术在重建参数和标记持续时间方面进行了优化。颅内 VC 与相位对比 MRI 测量的主动脉脉搏波速度进行了比较。研究了 VC 随年龄的差异。
使用 10 个心动周期和 GRASP 稀疏约束 λ = 0.05 和 λ = 0.05 的 VaCom-PCASL 技术提供了最高的对比噪声比。发现 800ms 的标记持续时间可产生与较长持续时间相当的信号(P >.2),而 400ms 则产生显著的高估(P <.005)。颅内 VC 与主动脉脉搏波速度之间存在显著相关性(r = -0.73,P =.038,N = 8)。老年组的血管顺应性低于年轻组。
VaCom-PCASL-MRI 技术代表了一种非侵入性评估动脉僵硬和脉动性的有前途的方法。