Probing lung microstructure with hyperpolarized 3He gradient echo MRI.
Probing lung microstructure with hyperpolarized 3He gradient echo MRI.
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DOI：
10.1002/nbm.3150
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发表时间：
2014-12
影响因子：
2.9
通讯作者：
Yablonskiy, Dmitriy A.
中科院分区：
文献类型：
--
作者：
Sukstanskii, Alexander L.;Quirk, James D.;Yablonskiy, Dmitriy A.
在本文中，我们证明了使用超极化3He气体的梯度回声MRI可以同时提取肺通气特性、肺泡几何参数和血管网络结构的体内信息。该方法基于人体肺部超极化3He气体MRI信号的多梯度回波实验测量，并提出了该信号的理论模型。基于计算机模拟3He原子在肺组织（肺泡间隔、血管）和肺间隙之间的易感性差异诱导的不均匀磁场存在下在腺泡气道树中扩散的过程，我们推导出了与时间相关的MR信号与腺泡气道和血管网络几何参数的解析表达式。从8名健康志愿者身上获得的数据与文献值很好地吻合。这一信息与本小组先前开发的利用超极化3He扩散MRI的体内肺形态测量技术获得的信息是互补的，为研究健康和疾病的肺微观结构开辟了新的机会。
In this paper we demonstrate that Gradient Echo MRI with hyperpolarized 3He gas can be used for simultaneously extracting in vivo information about lung ventilation properties, alveolar geometrical parameters, and blood vessel network structure. This new approach is based on multi-gradient-echo experimental measurements of hyperpolarized 3He gas MRI signal from human lungs and a proposed theoretical model of this signal. Based on computer simulations of 3He atoms diffusing in the acinar airway tree in the presence of an inhomogeneous magnetic field induced by the susceptibility differences between lung tissue (alveolar septa, blood vessels) and lung airspaces we derive analytical expressions relating the time-dependent MR signal to the geometrical parameters of acinar airways and blood vessel network. Data obtained on 8 healthy volunteers are in good agreement with literature values. This information is complementary to the information that is obtained by means of in vivo lung morphometry technique with hyperpolarized 3He diffusion MRI previously developed by our group and opens new opportunities to study lung microstructure in health and disease.
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影响因子：
2.2
作者：
Sukstanskii, A. L.;Yablonskiy, D. A.
通讯作者：
Yablonskiy, D. A.
DOI：
10.1073/pnas.052594699
发表时间：
2002-03-05
影响因子：
11.1
作者：
Yablonskiy, DA;Sukstanskii, AL;Conradi, MS
通讯作者：
Conradi, MS
影响因子：
5.7
作者：
Luo, Jie;Jagadeesan, Bharathi D.;Cross, Anne H.;Yablonskiy, Dmitriy A.
通讯作者：
Yablonskiy, Dmitriy A.
影响因子：
3.3
作者：
YABLONSKIY, DA;HAACKE, EM
通讯作者：
HAACKE, EM
影响因子：
19.7
作者：
Quirk, James D.;Lutey, Barbara A.;Yablonskiy, Dmitriy A.
通讯作者：
Yablonskiy, Dmitriy A.