Department of Health Science, Gachon University Graduate School, Gachon University, Incheon 21936, Korea.
Neuroscience Research Institute, Gachon University, Incheon 21565, Korea.
Sensors (Basel). 2021 Sep 23;21(19):6352. doi: 10.3390/s21196352.
In this study, we proposed a novel pulse wave velocity (PWV) technique to determine cerebrovascular stiffness using a 3-tesla magnetic resonance imaging (MRI) to overcome the various shortcomings of existing PWV techniques for cerebral-artery PWV, such as long scan times and complicated procedures. The technique was developed by combining a simultaneous multi-slice (SMS) excitation pulse sequence with keyhole acquisition and reconstruction (SMS-K). The SMS-K technique for cerebral-artery PWV was evaluated using phantom and human experiments. In the results, common and internal carotid arteries (CCA and ICA) were acquired simultaneously in an image with a high temporal resolution-of 48 ms for one measurement. Vascular signals at 500 time points acquired within 30 s could generate pulse waveforms of CCA and ICA with 26 heartbeats, allowing for the detection of PWV changes over time. The results demonstrated that the SMS-K technique could provide more PWV information with a simple procedure within a short period of time. The procedural convenience and advantages of PWV measurements will make it more appropriate for clinical applications.
在这项研究中，我们提出了一种新的脉搏波速度（PWV）技术，使用 3 特斯拉磁共振成像（MRI）来确定脑血管僵硬度，以克服现有的用于大脑动脉 PWV 的各种 PWV 技术的各种缺点，例如扫描时间长和程序复杂。该技术是通过将同时多层（SMS）激发脉冲序列与关键孔采集和重建（SMS-K）相结合而开发的。使用幻影和人体实验评估了用于大脑动脉 PWV 的 SMS-K 技术。结果表明，在一次测量中，通过具有 48 毫秒的高时间分辨率的图像可以同时获取颈总动脉和颈内动脉（CCA 和 ICA）。在 30 秒内采集的 500 个时间点的血管信号可以生成具有 26 个心跳的 CCA 和 ICA 的脉搏波，从而可以检测到随时间变化的 PWV 变化。结果表明，SMS-K 技术可以在短时间内通过简单的程序提供更多的 PWV 信息。PWV 测量的程序便利性和优势将使其更适合临床应用。
