Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, United Kingdom.
Department of Radiology, The Churchill Hospital, Oxford University Hospitals NHS Trust, Old Road, Headington, OX3 7LE, United Kingdom.
Magn Reson Med. 2018 May;79(5):2597-2606. doi: 10.1002/mrm.26912. Epub 2017 Sep 16.
To develop and optimize a rapid dynamic hyperpolarized Xe ventilation (DXeV) MRI protocol and investigate the feasibility of capturing pulmonary signal-time curves in human lungs.
Spiral k-space trajectories were designed with the number of interleaves N = 1, 2, 4, and 8 corresponding to voxel sizes of 8 mm, 5 mm, 4 mm, and 2.5 mm, respectively, for field of view = 15 cm. DXeV images were acquired from a gas-flow phantom to investigate the ability of N = 1, 2, 4, and 8 to capture signal-time curves. A finite element model was constructed to investigate gas-flow dynamics corroborating the experimental signal-time curves. DXeV images were also carried out in six subjects (three healthy and three chronic obstructive pulmonary disease subjects).
DXeV images and numerical modelling of signal-time curves permitted the quantification of temporal and spatial resolutions for different numbers of spiral interleaves. The two-interleaved spiral (N = 2) was found to be the most time-efficient to obtain DXeV images and signal-time curves of whole lungs with a temporal resolution of 624 ms for 13 slices. Signal-time curves were well matched in three healthy volunteers. The Spearman's correlations of chronic obstructive pulmonary disease subjects were statistically different from three healthy subjects (P < 0.05).
The N = 2 spiral demonstrates the successful acquisition of DXeV images and signal-time curves in healthy subjects and chronic obstructive pulmonary disease patients. Magn Reson Med 79:2597-2606, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
开发和优化快速动态极化氙气通气(DXeV)MRI 协议,并研究在人体肺部捕获肺部信号时间曲线的可行性。
设计了螺旋 k 空间轨迹,其中 N=1、2、4 和 8 分别对应于体素尺寸 8mm、5mm、4mm 和 2.5mm,视野(FOV)=15cm。在气体流动模型中获取 DXeV 图像,以研究 N=1、2、4 和 8 捕获信号时间曲线的能力。构建了有限元模型来研究气体流动动力学,以证实实验信号时间曲线。还对六名受试者(三名健康人和三名慢性阻塞性肺疾病患者)进行了 DXeV 成像。
DXeV 图像和信号时间曲线的数值建模允许对不同螺旋数的时间和空间分辨率进行定量。发现双螺旋(N=2)是获得全肺 DXeV 图像和信号时间曲线最有效的方法,13 个切片的时间分辨率为 624ms。信号时间曲线在三名健康志愿者中匹配良好。慢性阻塞性肺疾病患者的 Spearman 相关性在统计学上与三名健康受试者不同(P<0.05)。
N=2 螺旋成功地在健康受试者和慢性阻塞性肺疾病患者中获取了 DXeV 图像和信号时间曲线。磁共振医学 79:2597-2606,2018。©2017 作者磁共振医学由 Wiley 期刊出版公司代表国际磁共振医学学会出版。这是根据知识共享署名许可条款允许在任何媒介中使用、分发和复制原始作品的条款,只要原始作品正确引用。