Kaiyu Zhang, Halit Akcicek, Gen Shi, Gador Canton, Josh Liu, Yin Guo, Xin Wang, Li Chen, Kristi D Pimentel, Ebru Yaman Akcicek, Xihe Tang, Yongjian Jin, Xuesong Li, Niranjan Balu, Thomas S Hatsukami, Mahmud Mossa-Basha, Zhensen Chen, Chun Yuan
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The performance of the method was assessed on 52 subjects, by using the flow direction, either antegrade or retrograde, derived from 3D phase-contrast MR imaging as the reference.</p><p><strong>Results: </strong>A total of 340 arterial segments in the COW were evaluated, among which 30 (8.8%) had retrograde flow according to 3D phase-contrast MRI. The ASL dMRA-based flow direction estimation has an accuracy, sensitivity, and specificity of 95.47%, 80%, and 96.34%, respectively.</p><p><strong>Conclusions: </strong>Using ASL dMRA and the developed image analysis method to estimate the flow direction in COW is feasible. This study provides a new method to assess the hemodynamics of the COW, which could be useful for the diagnosis and study of cerebrovascular diseases.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. 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引用次数: 0
摘要
背景和目的:威利斯环(COW)是大脑侧支循环的重要机制。这项概念验证研究旨在开发和评估一种分析方法,利用基于动脉自旋标记(ASL)的非对比度增强动态磁共振血管造影(dMRA)来描述 "威利斯圈 "动脉段的血液动力学特征:所开发的分析方法使用图形模型、引导策略和集合学习方法来确定 ASL dMRA 的时间曲线移动,从而估计 COW 内的血流方向。以三维相位对比(PC)核磁共振成像得出的血流方向(顺行或逆行)为参考,在 52 名受试者身上评估了该方法的性能:结果:共对 COW 的 340 个动脉节段进行了评估,其中 30 个(8.8%)节段根据三维 PC 显示为逆行血流。基于 ASL dMRA 的血流方向估计的准确性、敏感性和特异性分别为 95.47%、80% 和 96.34%:使用 ASL dMRA 和所开发的图像分析方法来估计 COW 的血流方向是可行的。该研究提供了一种评估 COW 血流动力学的新方法,可用于脑血管疾病的诊断和研究:缩写:COW = 威利斯环;ASL = 动脉自旋标记;dMRA = 动态磁共振血管造影;PC = 相衬。
Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography.
Background and purpose: The circle of Willis (COW) is a crucial mechanism for cerebral collateral circulation. This proof-of-concept study aims to develop and assess an analysis method to characterize the hemodynamics of the arterial segments in the COW by using arterial spin-labeling (ASL) based non-contrast-enhanced dynamic MR angiography (dMRA).
Materials and methods: The developed analysis method uses a graph model, bootstrap strategy, and ensemble learning methodologies to determine the time curve shift from ASL dMRA to estimate the flow direction within the COW. The performance of the method was assessed on 52 subjects, by using the flow direction, either antegrade or retrograde, derived from 3D phase-contrast MR imaging as the reference.
Results: A total of 340 arterial segments in the COW were evaluated, among which 30 (8.8%) had retrograde flow according to 3D phase-contrast MRI. The ASL dMRA-based flow direction estimation has an accuracy, sensitivity, and specificity of 95.47%, 80%, and 96.34%, respectively.
Conclusions: Using ASL dMRA and the developed image analysis method to estimate the flow direction in COW is feasible. This study provides a new method to assess the hemodynamics of the COW, which could be useful for the diagnosis and study of cerebrovascular diseases.