Orientation dependence of microcirculation-induced diffusion signal in anisotropic tissues.
Orientation dependence of microcirculation-induced diffusion signal in anisotropic tissues.
复制标题
DOI：
10.1002/mrm.25980
复制
发表时间：
2016-10
影响因子：
3.3
通讯作者：
Hsu EW
中科院分区：
文献类型：
--
作者：
Abdullah OM;Gomez AD;Merchant S;Heidinger M;Poelzing S;Hsu EW
更好地了解有序毛细血管流动对MR扩散加权信号的影响。提出了一个理论框架来描述的扩散加权MR信号，然后验证了数字使用一个现实的毛细血管网络模型和实验在动物模型中的离体灌注心脏制备与心肌血流量通过直接动脉自旋标记测量验证。组织中的微循环产生了MR信号，其可以被描述为常规体素内非相干运动（IVIM）理论和血管信号的扩散张量成像（DTI）样各向异性的双指数行为的组合，其中与流动相关的伪扩散率表示为编码方向单位向量和适当张量实体之间的线性代数积。理论预测与数值计算和实验观测结果吻合很好，这些发现表明，各向异性自旋运动的DTI形式主义可以纳入经典IVIM理论来描述组织中弥散和微循环产生的MR信号。
To seek a better understanding of the effect of organized capillary flow on the MR diffusion-weighted signal. A theoretical framework was proposed to describe the diffusion-weighted MR signal, which was then validated both numerically using a realistic model of capillary network and experimentally in an animal model of isolated perfused heart preparation with myocardial blood flow verified by means of direct arterial spin labeling measurements. Microcirculation in organized tissues gave rise to an MR signal that could be described as a combination of the bi-exponential behavior of conventional intravoxel incoherent motion (IVIM) theory and diffusion tensor imaging (DTI) -like anisotropy of the vascular signal, with the flow-related pseudo diffusivity represented as the linear algebraic product between the encoding directional unit vector and an appropriate tensor entity. Very good agreement between theoretical predictions and both numerical and experimental observations were found. These findings suggest that the DTI formalism of anisotropic spin motion can be incorporated into the classical IVIM theory to describe the MR signal arising from diffusion and microcirculation in organized tissues.
登录
查看更多内容
影响因子：
14.5
作者：
LEENDERS, KL;PERANI, D;JONES, T
通讯作者：
JONES, T
DOI：
10.1152/ajpheart.00486.2010
发表时间：
2011-03-01
影响因子：
4.8
作者：
Kaneko, Noboru;Matsuda, Ryuko;Shimamoto, Ken
通讯作者：
Shimamoto, Ken
影响因子：
19.7
作者：
Luciani, Alain;Vignaud, Alexandre;Rahmouni, Alain
通讯作者：
Rahmouni, Alain
影响因子：
3.3
作者：
Callot, V;Bennett, E;Wen, H
通讯作者：
Wen, H
影响因子：
6.4
作者：
Fidler, F;Wacker, CM;Haase, A
通讯作者：
Haase, A