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使用实时相位对比 MRI 定量评估自主呼吸对脑动脉的影响。

Use of real-time phase-contrast MRI to quantify the effect of spontaneous breathing on the cerebral arteries.

机构信息

CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France; Medical Image Processing Department, Amiens Picardy University Hospital, Amiens, France.

MRI Department, Jules Verne University of Picardy, Amiens, France.

出版信息

Neuroimage. 2022 Sep;258:119361. doi: 10.1016/j.neuroimage.2022.119361. Epub 2022 Jun 7.

Abstract

Quantification of the effect of breathing on the cerebral circulation provides a better mechanistic understanding of the brain's circulatory system and is important in the early diagnosis of certain neurological diseases. However, conventional cine phase-contrast (CINE-PC) MRI cannot be used in this field of study because it only provides an average cardiac cycle flow curve reconstructed from multiple cardiac cycles. Unlike CINE-PC, phase-contrast echo-planar imaging (EPI-PC) can be used to quantify the blood flow rate in "real-time" and thus assess the effect of breathing on blood flow. Here, we first used post-processing software (developed in-house) to determine the feasibility of quantifying cerebral arterial blood flow with EPI-PC (relative to CINE-PC) in 16 participants. In a second step, we developed a new time-domain method for quantifying the intensity and the phase shift of the effects of breathing on the mean flow rate, stroke volume, cardiac period and amplitude of cerebral blood flow (in 10 participants). Our results showed that EPI-PC can quantify cerebral arterial blood flow rate with much the same degree of accuracy as CINE-PC but is more strongly influenced by differences in magnetic susceptibility. We found that breathing affected the mean flow rate, stroke volume and cardiac period of cerebral arterial blood flow.

摘要

量化呼吸对脑循环的影响可以更好地理解大脑的循环系统,对于某些神经疾病的早期诊断也很重要。然而,传统的电影相位对比(cine PC)MRI 不能用于该研究领域,因为它只能提供从多个心动周期重建的平均心动周期流量曲线。与 cine PC 不同,相位对比回波平面成像(EPI-PC)可用于实时量化血流率,从而评估呼吸对血流的影响。在这里,我们首先使用后处理软件(内部开发)来确定在 16 名参与者中使用 EPI-PC(相对于 cine PC)定量脑动脉血流的可行性。在第二步中,我们开发了一种新的时域方法来定量呼吸对平均流速、stroke volume、心动周期和脑血流幅度的强度和相位变化(在 10 名参与者中)。我们的结果表明,EPI-PC 可以定量脑动脉血流率,其准确性与 cine PC 大致相同,但受磁导率差异的影响更大。我们发现呼吸会影响脑动脉血流的平均流速、stroke volume 和心动周期。

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