Improved Bolus Arrival Time and Arterial Input Function Estimation for Tracer Kinetic Analysis in DCE-MRI
Improved Bolus Arrival Time and Arterial Input Function Estimation for Tracer Kinetic Analysis in DCE-MRI
复制标题
DOI：
10.1002/jmri.21624
复制
发表时间：
2009-01-01
影响因子：
4.4
通讯作者：
Gupta, Rakesh K.
中科院分区：
文献类型：
--
作者：
Singh, Anup;Rathore, Ram K. Singh;Gupta, Rakesh K.
目的：建立一种改进的对比剂到达时间(BAT)和动脉输入功能(AIF)的估计方法，这是动态增强磁共振成像(DCE-MRI)数据进行示踪剂动力学分析的先决条件，并验证其在颅内病变(脑肿瘤和结核球)中的适用性。材料和方法：针对T-1加权DCE-MRL中的浓度时间曲线C(T)，提出了一个连续分段线性(PL)模型(以BAT为自由参数)，并将改进后的AIF自动提取方法与以前的方法进行了比较。结果：提出的PL模型能够很好地逼近感兴趣的C(T)趋势，拟合参数对于更好地理解和分类不同的组织具有重要意义。对BAT的估计是正确的。使用所提出的方法获得的AIF的自动和稳健估计也校正了部分体积效应。结论：该方法测量的PL模型参数和AIF可用于改进的DCE-MRI数据的示踪剂动力学分析。
Purpose: To develop a methodology for improved estimation of bolus arrival time (BAT) and arterial input function (AIF) which are prerequisites for tracer kinetic analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data and to verify the applicability of the same in the case of intracranial lesions (brain tumor and tuberculoma).Materials and Methods: A continuous piecewise linear (PL) model (with BAT as one of the free parameters) is proposed for concentration time curve C(t) in T-1-weighted DCE-MRL The resulting improved procedure suggested for automatic extraction of AIF is compared with earlier methods. The accuracy of BAT and other estimated parameters is tested over simulated as well as experimental data.Results: The proposed PL model provides a good approximation of C(t) trends of interest and fit parameters show their significance in a better understanding and classification of different tissues. BAT was correctly estimated. The automatic and robust estimation of AIF obtained using the proposed methodology also corrects for partial volume effects. The accuracy of tracer kinetic analysis is improved and the proposed methodology also reduces the time complexity of the computations.Conclusion: The PL model parameters along with AIF measured by the proposed procedure can be used for an improved tracer kinetic analysis of DCE-MRI data.