Non-invasive pressure difference estimation from PC-MRI using the work-energy equation
Non-invasive pressure difference estimation from PC-MRI using the work-energy equation
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DOI：
10.1016/j.media.2015.08.012
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发表时间：
2015-12-01
影响因子：
10.9
通讯作者：
Nordsletten, David A.
中科院分区：
文献类型：
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作者：
Donati, Fabrizio;Figueroa, C. Alberto;Nordsletten, David A.
压差是心血管疾病（如主动脉缩窄）的公认临床生物标志物。目前，临床上的压差测量依赖于侵入性技术（导管插入术），这促进了基于血流的非侵入性估计的发展。在这项工作中，我们提出了一个非侵入性的估计程序，从牛顿流体的功-能方程推导出压力差。空间和时间的收敛证明在硅相位对比磁共振成像（PC-MRI）体模与稳定和瞬态流场。该方法还测试了从三维患者特定的计算流体动力学（CFD）模拟中生成的图像数据集，并最终在9名受试者的队列中进行评估。现有的方法的基础上稳定和非稳定的伯努利配方以及压力泊松方程的性能进行比较。新技术显示出良好的准确性，对噪声的鲁棒性和对图像分割过程的鲁棒性，说明了这种方法用于非侵入性压差估计的潜力。(C)2015作者由爱思唯尔公司出版
Pressure difference is an accepted clinical biomarker for cardiovascular disease conditions such as aortic coarctation. Currently, measurements of pressure differences in the clinic rely on invasive techniques (catheterization), prompting development of non-invasive estimates based on blood flow. In this work, we propose a non-invasive estimation procedure deriving pressure difference from the work-energy equation for a Newtonian fluid. Spatial and temporal convergence is demonstrated on in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow fields. The method is also tested on an image dataset generated in silico from a 3D patient-specific Computational Fluid Dynamics (CFD) simulation and finally evaluated on a cohort of 9 subjects. The performance is compared to existing approaches based on steady and unsteady Bernoulli formulations as well as the pressure Poisson equation. The new technique shows good accuracy, robustness to noise, and robustness to the image segmentation process, illustrating the potential of this approach for non-invasive pressure difference estimation. (C) 2015 The Authors. Published by Elsevier B.V.