In vivo mapping of hippocampal venous vasculature and oxygen saturation using dual-echo SWI/QSM at 7 T: a potential marker for neurodegeneration

Chenyang Li, Marco Muccio, Li Jiang, Zhe Sun, S. Buch, Jiangyang Zhang, E. Haacke, Y. Ge
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Abstract

Background: The current understanding of the venous system in the hippocampus is mostly based on histological and autopsy studies.1 However, the main disadvantage is that it only reveals the anatomy of the vascular system at the post-mortem stage and lacks physiological aspects associated with neuronal metabolism. In vivo characterization of the venous system using susceptibility weighted imaging (SWI) at 7 T could provide valuable information on both venous anatomy and blood oxygen saturation, through high-resolution SWI venography2 and quantitative susceptibility mapping (QSM).3 In this study, we aim to elucidate the hierarchical network of the hippocampal venous system and then test the feasibility of using venous susceptibility to characterize venous oxygenation level changes related to neurodegeneration. Methods: Seven healthy volunteers were recruited for this study. We used high in-plane resolution of flow-compensated dual-echo gradient echo sequence (TE1/TE2/TR=7.5/15/22 ms, voxel size: 0.25*0.25*1 mm). SWI and QSM were then reconstructed using the iterative SWI and mapping (iterative SWIM) algorithm,3 as shown in Figure 1. Hippocampus masks were extracted from the T1-MPRAGE image, which was transformed to SWI space afterwards. To reduce the partial volume effect from the tissue-vessel boundary, we extract the venous susceptibility value from each voxel along the centerline of the vessels. Results: High-resolution in vivo mapping of hippocampal venous vasculature exhibits a high analogy to Duvernoy’s reference4 for hippocampal vascularization. As shown in Figure 1, there is a shape of venous arch near the fimbria of the hippocampus, and small veins extending through the arch are possibly the intrahippocampal veins. The intrahippocampal veins will eventually reach the inferior ventricular vein (IVV) (anteriorly) and medial atrial vein (MAV) (posteriorly), before joining the basal vein of Rosenthal (BVR). For venous susceptibility quantification, Figure 1 shows the representative color-coded QSM for centerline extraction on BVR. Conclusions: Our results showed improved visualization of the micro venous system in the hippocampus using high-resolution 7 T SWI data without the contrast agent.5 In summary, the characterization of venous QSM in major tributaries related to the hippocampus offers a novel perspective on oxygen utilization in the hippocampus, which may be useful for studying age-related dementia. We delineated the hierarchical network of the hippocampus venous system using SWI/QSM at 7 T and extract the venous density and venous susceptibility value in hippocampus-related small veins and major venous tributaries, as an overall measure for venous oxygenation level related to the hippocampus, which may be used as an early marker for hippocampal atrophy in Alzheimer’s disease.
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7 T时使用双回声SWI/QSM测量海马静脉血管和氧饱和度:神经退行性变的潜在标志
背景:目前对海马静脉系统的认识主要基于组织学和尸检研究然而,主要的缺点是它只揭示了死后血管系统的解剖结构,而缺乏与神经元代谢相关的生理方面。7 T时使用敏感性加权成像(SWI)对静脉系统进行体内表征,可以通过高分辨率SWI静脉造影2和定量敏感性制图(QSM)提供有价值的静脉解剖和血氧饱和度信息在本研究中,我们旨在阐明海马静脉系统的层次网络,然后测试使用静脉敏感性来表征与神经变性相关的静脉氧合水平变化的可行性。方法:招募7名健康志愿者参加本研究。采用高面内分辨率流补偿双回波梯度回波序列(TE1/TE2/TR=7.5/15/22 ms,体素大小:0.25*0.25*1 mm)。然后使用迭代SWI和映射(迭代SWIM)算法3重构SWI和QSM,如图1所示。从T1-MPRAGE图像中提取海马掩模,然后将其转换到SWI空间。为了减少组织-血管边界的部分体积效应,我们沿血管中心线提取每个体素的静脉敏感性值。结果:高分辨率的海马静脉血管在体内作图与Duvernoy对海马血管化的参考具有高度的相似性。如图1所示,在海马膜附近有一个静脉弓的形状,穿过弓形的小静脉可能是海马内静脉。海马内静脉最终到达下心室静脉(IVV)(前)和内心房静脉(MAV)(后),然后加入罗森塔尔基底静脉(BVR)。对于静脉敏感性量化,图1显示了在BVR上提取中心线的代表性颜色编码QSM。结论:我们的研究结果显示,在不使用造影剂的情况下,使用高分辨率的7t SWI数据可以改善海马微静脉系统的可视化总之,与海马体相关的主要支流静脉QSM的表征为海马体的氧利用提供了一个新的视角,这可能对研究年龄相关性痴呆有用。我们在7 T时使用SWI/QSM描绘了海马静脉系统的分层网络,提取了海马相关小静脉和大静脉分支的静脉密度和静脉敏感性值,作为海马相关静脉氧合水平的整体指标,可能作为阿尔茨海默病海马萎缩的早期标志。
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