Reconstruction and Validation of Arterial Geometries for Computational Fluid Dynamics Using Multiple Temporal Frames of 4D Flow-MRI Magnitude Images.
Reconstruction and Validation of Arterial Geometries for Computational Fluid Dynamics Using Multiple Temporal Frames of 4D Flow-MRI Magnitude Images.
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DOI：
10.1007/s13239-023-00679-x
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发表时间：
2023-10
影响因子：
1.8
通讯作者：
Kazakidi, Asimina
中科院分区：
文献类型：
--
作者：
Black, Scott MacDonald;Maclean, Craig;Barrientos, Pauline Hall;Ritos, Konstantinos;Kazakidi, Asimina
动脉血管的分割和重建是计算流体力学（CFD）应用于临床的基础步骤。四维流动磁共振成像（4D flow - mri）可以提供血流的详细信息，但处理这些信息来阐明潜在的解剖结构是具有挑战性的。在这项研究中，我们提出了一种新的方法来创建高对比度的解剖图像从回顾性四维流mri数据。对于健康和临床病例，将多个心脏时间步长的3D瞬时速度直接叠加到4D Flow-MRI图像上，并合并为单个复合帧。这种新的复合相位对比磁共振血管造影（CPC-MRA）在管腔内产生增强和均匀的对比。随后对这些图像进行分割和重建，生成用于CFD的3D动脉模型。利用时间相关的三维不可压缩reynolds -average Navier-Stokes方程，在患者几何形状的刚性壁模型中计算瞬态主动脉血流动力学。这些模型与基于金标准ct的方法的验证显示，在血管半径或曲率方面，模态间差异无统计学意义（p > 0.05），骰子相似系数和豪斯多夫距离相似。cfd衍生的近壁血流动力学显示显着的模态间差异（p < 0.05），尽管这些绝对误差很小。与体内数据相比，cfd得出的速度在质量上是相似的。这项概念验证研究表明，在没有标准成像数据集和静脉造影剂的情况下，功能性4D Flow-MRI信息可用于回顾性生成CFD模型的解剖信息。在线版本包含补充资料，地址为10.1007/s13239-023-00679-x。
Segmentation and reconstruction of arterial blood vessels is a fundamental step in the translation of computational fluid dynamics (CFD) to the clinical practice. Four-dimensional flow magnetic resonance imaging (4D Flow-MRI) can provide detailed information of blood flow but processing this information to elucidate the underlying anatomical structures is challenging. In this study, we present a novel approach to create high-contrast anatomical images from retrospective 4D Flow-MRI data. For healthy and clinical cases, the 3D instantaneous velocities at multiple cardiac time steps were superimposed directly onto the 4D Flow-MRI magnitude images and combined into a single composite frame. This new Composite Phase-Contrast Magnetic Resonance Angiogram (CPC-MRA) resulted in enhanced and uniform contrast within the lumen. These images were subsequently segmented and reconstructed to generate 3D arterial models for CFD. Using the time-dependent, 3D incompressible Reynolds-averaged Navier–Stokes equations, the transient aortic haemodynamics was computed within a rigid wall model of patient geometries. Validation of these models against the gold standard CT-based approach showed no statistically significant inter-modality difference regarding vessel radius or curvature (p > 0.05), and a similar Dice Similarity Coefficient and Hausdorff Distance. CFD-derived near-wall hemodynamics indicated a significant inter-modality difference (p > 0.05), though these absolute errors were small. When compared to the in vivo data, CFD-derived velocities were qualitatively similar. This proof-of-concept study demonstrated that functional 4D Flow-MRI information can be utilized to retrospectively generate anatomical information for CFD models in the absence of standard imaging datasets and intravenous contrast. The online version contains supplementary material available at 10.1007/s13239-023-00679-x.
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影响因子：
4.6
作者：
Cherry, Molly;Khatir, Zinedine;Khan, Amirul;Bissell, Malenka
通讯作者：
Bissell, Malenka
DOI：
10.1056/nejmoa0901249
发表时间：
2009-08-27
期刊：
The New England journal of medicine
影响因子：
--
作者：
Fazel R;Krumholz HM;Wang Y;Ross JS;Chen J;Ting HH;Shah ND;Nasir K;Einstein AJ;Nallamothu BK
通讯作者：
Nallamothu BK
DOI：
10.1186/s12968-017-0360-8
发表时间：
2017-06-23
期刊：
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
影响因子：
--
作者：
Bustamante M;Gupta V;Carlhäll CJ;Ebbers T
通讯作者：
Ebbers T
影响因子：
10.9
作者：
Bustamante, Mariana;Gupta, Vikas;Ebbers, Tino
通讯作者：
Ebbers, Tino
影响因子：
1.7
作者：
Alawad, Saud;Abujamea, Abdullah
通讯作者：
Abujamea, Abdullah