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Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI

机译:物理约束的异形恶魔从电影MRI估计3D心肌应变。

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Analysing heart motion provides crucial insights on the condition of the cardiac function. Tagged-MRI and 2D-strain ultrasound enable quantitative assessment of the myocardium strain. But estimating 3D myocardium strain from cine-MRI remains attractive: cine-MRI is widely available and it yields detailed 3D+t anatomical images. This paper presents an image-based method to estimate myocardium strain from clinical short-axis cine-MRI. To recover non-apparent cardiac motions, we improve the diffeomorphic demons, a non-linear registration algorithm, by adding two physical constraints. First, myocardium near-incompressibility is ensured by constraining the deformations to be divergence free. Second, myocardium elasticity is modelled using smooth vector filters. The proposed physically-constrained demons are compared with the diffeomorphic demons and evaluated in a healthy subject against tagged MRI. The method is also tested on a patient with congenital pulmonary valve regurgitations and compared with 2D-strain measurements. In both cases, obtained results correlate well with ground truth. This method may become a useful tool for cardiac function evaluation.
机译:分析心脏运动可提供有关心脏功能状况的重要见解。标记MRI和2D应变超声能够定量评估心肌应变。但是从cine-MRI估计3D心肌应变仍然很有吸引力:cine-MRI广泛可用,并且可以产生详细的3D + t解剖图像。本文提出了一种基于图像的方法,可从临床短轴电影MRI评估心肌张力。为了恢复不明显的心脏运动,我们通过添加两个物理约束来改进微分恶魔,一种非线性配准算法。首先,通过限制变形无散度来确保心肌的近不可压性。其次,使用平滑矢量滤波器对心肌弹性建模。将拟议的身体受约束的恶魔与微形恶魔进行比较,并在健康受试者中针对标记的MRI进行评估。该方法还针对先天性肺动脉瓣关闭不全的患者进行了测试,并与2D应变测量结果进行了比较。在这两种情况下,获得的结果都与事实相符。该方法可能成为心功能评估的有用工具。

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