MVP-VSASL:利用速度选择性动脉自旋标记测量微血管脉动率

Conan Chen, Ryan A Barnes, Katherine J Bangen, Fei Han, Josef Pfeuffer, Eric C Wong, Thomas T Liu, Divya S Bolar
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引用次数: 0

摘要

目的:通过利用速度选择性动脉自旋标记(VSASL)的小血管特异性,我们提出了一种测量脑微血管搏动性的新技术,名为 MVP-VSASL:我们提出了一个将脉动性、脑血流驱动的 VSASL 信号与微血管脉动指数(PI)相关联的理论模型,PI 是一种广泛用于量化心脏依赖性波动的指标。该模型描述了搏动指数对栓塞持续时间τ(一个可调节的 VSASL 序列参数)的依赖性,并为选择一个能使搏动指数测量信噪比最大化的 τ 值提供了指导。利用回溯性心脏门控 VSASL 序列在广泛的 τ 值范围内获得的数据,对人体模型预测进行了评估。体内测量还用于证明全脑体素 PI 映射的可行性、评估 PI 测量的会期内可重复性,并说明该方法探索与年龄相关性的潜力:理论模型与灰质相关区域的经验数据显示出极佳的一致性(六个受试者的平均 R2 值为 0.898 ± 0.107)。我们还进一步证明了脉动性测量的极佳时段内可重复性(ICC = 0.960,p < 0.001)以及与年龄相关的潜在特征(r = 0.554,p = 0.021):我们介绍了一种基于 VSASL 的新型脑微血管搏动率技术,该技术可能有助于对微血管受损的认知障碍进行研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MVP-VSASL: measuring MicroVascular Pulsatility using Velocity-Selective Arterial Spin Labeling
Purpose: By leveraging the small-vessel specificity of velocity-selective arterial spin labeling (VSASL), we present a novel technique for measuring cerebral MicroVascular Pulsatility named MVP-VSASL. Theory and Methods: We present a theoretical model relating the pulsatile, cerebral blood flow-driven VSASL signal to the microvascular pulsatility index (PI), a widely used metric for quantifying cardiac-dependent fluctuations. The model describes the dependence of PI on bolus duration τ (an adjustable VSASL sequence parameter) and provides guidance for selecting a value of τ that maximizes the SNR of the PI measurement. The model predictions were assessed in humans using data acquired with retrospectively cardiac-gated VSASL sequences over a broad range of τ values. In vivo measurements were also used to demonstrate the feasibility of whole-brain voxel-wise PI mapping, assess intrasession repeatability of the PI measurement, and illustrate the potential of this method to explore an association with age. Results: The theoretical model showed excellent agreement to the empirical data in a gray matter region of interest (average R2 value of 0.898 ± 0.107 across six subjects). We further showed excellent intrasession repeatability of the pulsatility measurement (ICC = 0.960, p < 0.001) and the potential to characterize associations with age (r = 0.554, p = 0.021). Conclusion: We have introduced a novel, VSASL-based cerebral microvascular pulsatility technique, which may facilitate investigation of cognitive disorders where damage to the microvasculature has been implicated.
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