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关于从彩色多普勒超声进行腹主动脉二维速度重建的研究

Towards the 2D velocity reconstruction in abdominal aorta from Color-Doppler Ultrasound.

作者信息

Antonuccio Maria Nicole, Morales Hernan G, This Alexandre, Capellini Katia, Avril Stéphane, Celi Simona, Rouet Laurence

机构信息

Philips Research Paris, 92150 Suresnes, France; BioCardioLab, Bioengineering Unit - Heart Hospital, Fondazione Toscana "G. Monasterio", 54100 Massa, Italy; Mines Saint-Étienne, Univ Lyon, Univ Jean Monnet, INSERM, U 1059 Sainbiose,F - 42023 Saint-Étienne, France.

Philips Research Paris, 92150 Suresnes, France.

出版信息

Med Eng Phys. 2022 Sep;107:103873. doi: 10.1016/j.medengphy.2022.103873. Epub 2022 Aug 6.

Abstract

Magnetic resonance imaging (MRI) is the preferred modality to assess hemodynamics in healthy and diseased blood vessels. As an affordable and non-invasive alternative, Color-Doppler imaging is a good candidate. Nevertheless, Color-Doppler acquisitions provide only partial information on the blood velocity within the vessel. We present a framework to reconstruct 2D velocity fields in the aorta. We generated 2D Color-Doppler-like images from patient-specific Computational Fluid Dynamics (CFD) models of abdominal aortas and evaluated the framework's performance. The 2D velocity field reconstruction is based on the minimization of a cost function, in which the reconstructed velocities are constrained to satisfy fluid dynamics principles. The numerical evaluations show that the reconstructed vector flow fields agree with ground-truth velocities, with an average magnitude error of less than 4% and an average angular error of less than 2. We lastly illustrate the 2D velocity field reconstructed from in-vivo Color-Doppler data. Observing the hemodynamics in patients is expected to have a clinical impact in assessing disease development and progression, such as abdominal aortic aneurysms.

摘要

磁共振成像(MRI)是评估健康和病变血管血流动力学的首选方式。作为一种经济实惠且非侵入性的替代方法,彩色多普勒成像也是一个不错的选择。然而,彩色多普勒采集仅提供血管内血流速度的部分信息。我们提出了一种用于重建主动脉二维速度场的框架。我们从腹部主动脉的患者特异性计算流体动力学(CFD)模型生成了类似二维彩色多普勒的图像,并评估了该框架的性能。二维速度场重建基于一个代价函数的最小化,其中重建速度受到约束以满足流体动力学原理。数值评估表明,重建的矢量流场与真实速度相符,平均幅度误差小于4%,平均角度误差小于2°。我们最后展示了从体内彩色多普勒数据重建的二维速度场。观察患者的血流动力学有望对评估疾病发展和进展(如腹主动脉瘤)产生临床影响。

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