Rapid cerebrovascular reactivity mapping: Enabling vascular reactivity information to be routinely acquired

Rapid cerebrovascular reactivity mapping: Enabling vascular reactivity information to be routinely acquired
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DOI:
10.1016/j.neuroimage.2017.07.048
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发表时间:
2017-10-01
期刊:
影响因子:
5.7
通讯作者:
Bulte, Daniel P.
Bulte, Daniel P.
中科院分区:
医学1区
文献类型:
--
作者:
Blockley, Nicholas P.;Harkin, James W.;Bulte, Daniel P.

文献摘要

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脑血管反应性测绘(CVR)使用磁共振成像(MRI)和二氧化碳作为刺激,提供了关于脑血管在应激状态下的反应的有用信息。这些信息已被证明在血管疾病、痴呆症和健康老龄化的研究中很有用。然而,这种形式的CVR标测的临床应用因相对较长的扫描持续时间(7-12分钟)而受到阻碍。通过用正弦调制刺激取代传统的二氧化碳富集区,这项研究的目的是调查是否有可能有更多临床可接受的扫描持续时间。首先,将传统的阻塞协议与同样持续时间为7min的正弦协议进行比较。对CVR信号大小(CVR幅度)的估计在刺激方案之间被发现是一致的,但对CVR反应的相对时间(CVR阶段)的估计则不一致。其次,使用在1-6分钟范围内递减的数据量来重新分析来自正弦协议的数据。与CVR时相相比,CVR幅度对扫描持续时间缩短的耐受性更好。然而,这些分析表明,扫描持续时间在3-5分钟的范围内会产生稳健的数据。
Cerebrovascular reactivity mapping (CVR), using magnetic resonance imaging (MRI) and carbon dioxide as a stimulus, provides useful information on how cerebral blood vessels react under stress. This information has proven to be useful in the study of vascular disorders, dementia and healthy ageing. However, clinical adoption of this form of CVR mapping has been hindered by relatively long scan durations of 7-12 min. By replacing the conventional block presentation of carbon dioxide enriched air with a sinusoidally modulated stimulus, the aim of this study was to investigate whether more clinically acceptable scan durations are possible. Firstly, the conventional block protocol was compared with a sinusoidal protocol of the same duration of 7 min. Estimates of the magnitude of the CVR signal (CVR magnitude) were found to be in good agreement between the stimulus protocols, but estimates of the relative timing of the CVR response (CVR phase) were not. Secondly, data from the sinusoidal protocol was reanalysed using decreasing amounts of data in the range 1-6 min. The CVR magnitude was found to tolerate this reduction in scan duration better than CVR phase. However, these analyses indicate that scan durations in the range of 3-5 min produce robust data.