Oster Julien, Llinares Raul, Payne Stephen, Tse Zion Tsz Ho, Schmidt Ehud Jeruham, Clifford Gari D
a Department of Engineering Science , Institute of Biomedical Engineering, University of Oxford , Oxford , UK.
Comput Methods Biomech Biomed Engin. 2015;18(13):1400-17. doi: 10.1080/10255842.2014.909090. Epub 2014 Apr 24.
The electrocardiogram (ECG) is often acquired during magnetic resonance imaging (MRI), but its analysis is restricted by the presence of a strong artefact, called magnetohydrodynamic (MHD) effect. MHD effect is induced by the flow of electrically charged particles in the blood perpendicular to the static magnetic field, which creates a potential of the order of magnitude of the ECG and temporally coincident with the repolarisation period. In this study, a new MHD model is proposed by using MRI-based 4D blood flow measurements made across the aortic arch. The model is extended to several cardiac cycles to allow the simulation of a realistic ECG acquisition during MRI examination and the quality assessment of MHD suppression techniques. A comparison of two existing models, based, respectively, on an analytical solution and on a numerical method-based solution of the fluids dynamics problem, is made with the proposed model and with an estimate of the MHD voltage observed during a real MRI scan. Results indicate a moderate agreement between the proposed model and the estimated MHD model for most leads, with an average correlation factor of 0.47. However, the results demonstrate that the proposed model provides a closer approximation to the observed MHD effects and a better depiction of the complexity of the MHD effect compared with the previously published models, with an improved correlation (+5%), coefficient of determination (+22%) and fraction of energy (+1%) compared with the best previous model. The source code will be made freely available under an open source licence to facilitate collaboration and allow more rapid development of more accurate models of the MHD effect.
心电图(ECG)通常在磁共振成像(MRI)过程中采集,但其分析受到一种称为磁流体动力学(MHD)效应的强伪影的限制。MHD效应是由血液中带电粒子垂直于静磁场流动所诱发的,这会产生一个与心电图量级相当且在时间上与复极化期重合的电位。在本研究中,通过使用基于MRI的主动脉弓4D血流测量数据,提出了一种新的MHD模型。该模型扩展到多个心动周期,以模拟MRI检查期间真实的心电图采集以及MHD抑制技术的质量评估。将分别基于流体动力学问题的解析解和数值方法解的两个现有模型,与所提出的模型以及在实际MRI扫描中观察到的MHD电压估计值进行比较。结果表明,对于大多数导联,所提出的模型与估计的MHD模型之间存在适度的一致性,平均相关系数为0.47。然而,结果表明,与先前发表的模型相比,所提出的模型更接近观察到的MHD效应,并且能更好地描绘MHD效应的复杂性,与之前最佳模型相比,相关性提高了5%,决定系数提高了22%,能量分数提高了1%。源代码将在开源许可下免费提供,以促进合作,并允许更快速地开发更准确的MHD效应模型。