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Reconstruction of velocity fields inside the myocardium using Tikhonov regularization

机译:使用Tikhonov规则改造重建心肌内的速度场

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摘要

Most cardiac diseases, like coronary artery disease or valve defects, are related to wall motion malfunctions. Much research has been done in the estimation of cardiac movement using magnetic resonance (MR) techniques, like MR tagging or phase contrast MR. But echocardiography (cardiac ultrasound) is still the method of choice in clinical routine. Besides visual, subjective wall motion scoring using gray-scale data, myocardial velocities can be obtained using tissue Doppler techniques. A major limitation of Doppler techniques is the one-dimensional estimation of velocities: only the component towards transducer position is measured. Assessing the true velocity field will lead to a more objective measurement. In this paper we describe a method for reconstructing velocity fields using a-priori information about the solution. The feasibility is quantitatively evaluated using simulated data of typical velocity patterns. Translation, contraction and shear movement can be reconstructed well. The proposed method can also be used for the reconstruction of blood flow velocities using color Doppler.
机译:大多数心脏病,如冠状动脉疾病或瓣膜缺陷,与壁运动发生故障。在使用磁共振(MR)技术的心动运动估计中已经进行了许多研究,例如MR标记或相位对比MR。但超声心动图(心脏超声)仍然是临床常规选择的方法。除了视觉上,使用灰度数据的主观壁运动评分,可以使用组织多普勒技术获得心肌速度。多普勒技术的主要限制是速度的一维估计:仅测量朝向换能器位置的组件。评估真正的速度场将导致更客观的测量。在本文中,我们描述了一种使用关于解决方案的先验信息重建速度字段的方法。使用典型速度模式的模拟数据定量评估可行性。翻译,收缩和剪切运动可以很好地重建。所提出的方法还可用于使用颜色多普勒重建血流速度。

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