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使用快速同步多层面激发磁共振序列测量脑血管脉搏波速度的新方法。

Novel Technique to Measure Pulse Wave Velocity in Brain Vessels Using a Fast Simultaneous Multi-Slice Excitation Magnetic Resonance Sequence.

机构信息

Department of Health Science, Gachon University Graduate School, Gachon University, Incheon 21936, Korea.

Neuroscience Research Institute, Gachon University, Incheon 21565, Korea.

出版信息

Sensors (Basel). 2021 Sep 23;21(19):6352. doi: 10.3390/s21196352.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73fe/8512313/0906aea1522e/sensors-21-06352-g001.jpg

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