Three-dimensional whole-brain perfusion quantification using pseudo-continuous arterial spin labeling MRI at multiple post-labeling delays: accounting for both arterial transit time and impulse response function.
Three-dimensional whole-brain perfusion quantification using pseudo-continuous arterial spin labeling MRI at multiple post-labeling delays: accounting for both arterial transit time and impulse response function.
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DOI：
10.1002/nbm.3040
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发表时间：
2014-02
影响因子：
2.9
通讯作者：
van Zijl, Peter C. M.
中科院分区：
文献类型：
--
作者：
Qin, Qin;Huang, Alan J.;Hua, Jun;Desmond, John E.;Stevens, Robert D.;van Zijl, Peter C. M.
全脑覆盖的脑血流量（CBF）测量在采集和定量分析方面都具有挑战性。为了拟合基于ASL的灌注动力学曲线，引入了表征有效脉冲响应函数（IRF）的经验3参数模型，该模型允许确定CBF、动脉通过时间（ATT）和T1，eff。通过蒙特卡罗模拟，该模型的准确性和精度与更复杂的模型与4或5个参数进行了比较。在10名正常志愿者的临床3特斯拉扫描仪上使用3D多激发梯度和自旋回波（GRASE）方案在多个标记后延迟采集伪连续动脉自旋标记（PCASL）图像，以采集动力学曲线。使用3参数模型和包含2、4或5个未知参数的其他模型进行逐体素拟合。对于双参数模型，分别假设接近组织和血液的T1、eff值。进行标准统计分析以比较不同脑区域中的这些拟合模型。拟合结果表明：（1）两参数模型的CBF估计值对T1，eff值有明显的依赖性，（2）与显式IRF拟合模型相比，三参数模型在拟合优度和模型复杂度之间达到了最佳平衡; 3）对于T1，eff使用固定血液T1值的2参数模型和3参数模型都提供了合理的拟合结果。使用所提出的3参数模型，估计的CBF值（46±14 mL/100 g/min）和ATT值（ATT = 1.4±0.3 s）从不同的大脑区域平均接近文献报道;估计的T1，eff值（T1，eff = 1.9±0.4 s）高于组织T1值，可能反映了微血管动脉血室的贡献。
Measurement of cerebral blood flow (CBF) with whole-brain coverage is challenging in terms of both acquisition and quantitative analysis. In order to fit the ASL-based perfusion kinetic curves, an empirical 3-parameter model that characterizes the effective impulse response function (IRF) is introduced, which allows determination of CBF, arterial transit time (ATT), and T1,eff. The accuracy and precision of the proposed model is compared with more complicated models with 4 or 5 parameters through Monte Carlo simulations. Pseudo-continuous arterial spin labeling (PCASL) images were acquired on a clinical 3 Tesla scanner in 10 normal volunteers using a 3D multi-shot gradient- and spin-echo (GRASE) scheme at multiple post-labeling delays to sample the kinetic curves. Voxel-wise fitting was performed using the 3-parameter model and other models that contain 2, 4 or 5 unknown parameters. For the 2-parameter model, T1,eff values close to tissue and blood were assumed separately. Standard statistical analysis was conducted to compare these fitting models in various brain regions. The fitted results indicate that: 1) the estimated CBF values using the 2-parameter model show appreciable dependence on the assumed T1,eff values; 2) the proposed 3-parameter model achieves the optimal balance between the goodness of fit and the model complexity when compared among the models with explicit IRF fitting; 3) both the 2-parameter model using fixed blood T1 values for T1,eff and the 3-parameter model provide reasonable fitting results. Using the proposed 3-parameter model, the estimated CBF values (46±14 mL/100g/min) and ATT values (ATT = 1.4±0.3 s) averaged from different brain regions are close to the literature reports; the estimated T1,eff values (T1,eff = 1.9±0.4 s) are higher than the tissue T1 values, possibly reflecting a contribution from the microvascular arterial blood compartment.
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影响因子：
2.2
作者：
Hrabe, J;Lewis, DP
通讯作者：
Lewis, DP
影响因子：
2.9
作者：
Hua, Jun;Qin, Qin;van Zijl, Peter C. M.
通讯作者：
van Zijl, Peter C. M.
影响因子：
3.3
作者：
Balu, Niranjan;Yarnykh, Vasily L.;Chu, Baocheng;Wang, Jinnan;Hatsukami, Thomas;Yuan, Chun
通讯作者：
Yuan, Chun
影响因子：
3.3
作者：
Hendrikse, J;Lu, HZ;Golay, X
通讯作者：
Golay, X
影响因子：
6.8
作者：
AKAIKE, H
通讯作者：
AKAIKE, H