Mirzaee Hanieh, Henn Thomas, Krause Mathias J, Goubergrits Leonid, Schumann Christian, Neugebauer Mathias, Kuehne Titus, Preusser Tobias, Hennemuth Anja
Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, Germany.
Institute for Mechanical Process Engineering and Mechanics, Karlsruher Institute of Technology, Karlsruhe, Germany.
J Magn Reson Imaging. 2017 Jan;45(1):139-146. doi: 10.1002/jmri.25366. Epub 2016 Jul 7.
To introduce a scheme based on a recent technique in computational hemodynamics, known as the lattice Boltzmann methods (LBM), to noninvasively measure pressure gradients in patients with a coarctation of the aorta (CoA). To provide evidence on the accuracy of the proposed scheme, the computed pressure drop values are compared against those obtained using the reference standard method of catheterization.
Pre- and posttreatment LBM-based pressure gradients for 12 patients with CoA were simulated for the time point of peak systole using the open source library OpenLB. Four-dimensional (4D) flow-sensitive phase-contrast MRI at 1.5 Tesla was used to acquire flow and to setup the simulation. The vascular geometry was reconstructed using 3D whole-heart MRI. Patients underwent pre- and postinterventional pressure catheterization as a reference standard.
There is a significant linear correlation between the pretreatment catheter pressure drops and those computed based on the LBM simulation, r=.85, P<.001. The bias was -0.58 ± 4.1 mmHg and was not significant ( P=0.64) with a 95% confidence interval (CI) of -3.22 to 2.06. For the posttreatment results, the bias was larger and at -2.54 ± 3.53 mmHg with a 95% CI of -0.17 to -4.91 mmHg.
The results indicate a reasonable agreement between the simulation results and the catheter measurements. LBM-based computational hemodynamics can be considered as an alternative to more traditional computational fluid dynamics schemes for noninvasive pressure calculations and can assist in diagnosis and therapy planning.
3 J. Magn. Reson. Imaging 2017;45:139-146.
介绍一种基于计算血液动力学中一种最新技术(称为格子玻尔兹曼方法(LBM))的方案,用于无创测量主动脉缩窄(CoA)患者的压力梯度。为了提供所提方案准确性的证据,将计算得到的压力降值与使用导管插入术这一参考标准方法获得的值进行比较。
使用开源库OpenLB,针对12例CoA患者在收缩期峰值时间点模拟基于LBM的治疗前和治疗后的压力梯度。采用1.5特斯拉的四维(4D)血流敏感相位对比磁共振成像来获取血流并设置模拟。使用三维全心脏磁共振成像重建血管几何结构。患者接受介入治疗前和治疗后的压力导管插入术作为参考标准。
治疗前导管压力降与基于LBM模拟计算得到的压力降之间存在显著的线性相关性,r = 0.85,P < 0.001。偏差为 -0.58±4.1 mmHg,不显著(P = 0.64),95%置信区间(CI)为 -3.22至2.06。对于治疗后结果,偏差更大,为 -2.54±3.53 mmHg,95%CI为 -0.17至 -4.91 mmHg。
结果表明模拟结果与导管测量之间具有合理的一致性。基于LBM的计算血液动力学可被视为用于无创压力计算的更传统计算流体动力学方案的替代方法,并可辅助诊断和治疗规划。
3 J. Magn. Reson. Imaging 2017;45:139 - 146。