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首页> 外文期刊>Medical engineering & physics. >Cardiac motion recovery using an incompressible B-solid model.
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Cardiac motion recovery using an incompressible B-solid model.

机译:使用不可压缩的B实体模型进行心脏运动恢复。

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摘要

B-spline based deformable model is commonly used in recovering three-dimensional (3D) cardiac motion from tagged MRI due to its compact description, localized continuity and control flexibility. However, existing approaches usually ignore an important well-known fact that myocardial tissue is incompressible. In this paper, we propose to reconstruct 3D cardiac motion from tagged MRI using an incompressible B-solid model. We demonstrate that cardiac motion recovery can be achieved more with greater accuracy by considering both smoothness and incompressibility of the myocardium. Specifically, our incompressible B-solid model is formulated as a 3D tensor product of B-splines, where each piece of B-spline represents a smooth and divergence-free displacement field of myocardium with respect to radial, longitudinal and circumferential direction, respectively. We further formulate the fitting of the incompressible B-solid model as an optimization problem and solve it with a two-stage algorithm. Finally, the 3D myocardium strains are obtained from the reconstructed incompressible displacement fields and visualized in a comprehensive way. The proposed method is evaluated on both synthetic and in vivo human datasets. Comparisons with state-of-the-art methods are also conducted to validate the proposed method. Experimental results demonstrate that our method has a higher accuracy and more stable volume-preserving ability than previous methods, yielding an average displacement error of 0.21mm and a Jacobian determinant mean of 1.029.
机译:基于B样条的可变形模型由于其紧凑的描述,局部的连续性和控制的灵活性,通常用于从标记的MRI恢复三维(3D)心脏运动。但是,现有方法通常忽略了一个重要的众所周知的事实,即心肌组织不可压缩。在本文中,我们建议使用不可压缩的B实体模型从标记的MRI重建3D心脏运动。我们证明,通过考虑心肌的光滑度和不可压缩性,可以以更高的精度实现更多的心脏运动恢复。具体而言,我们的不可压缩B实体模型被公式化为B样条的3D张量积,其中每条B样条分别代表心肌在径向,纵向和周向方向上的平滑且无散度的位移场。我们进一步将不可压缩的B-固体模型的拟合公式化为一个优化问题,并采用两阶段算法对其进行求解。最后,从重建的不可压缩的位移场获得3D心肌应变,并以综合的方式对其进行可视化。拟议的方法在合成和体内人类数据集上进行了评估。还与最先进的方法进行了比较,以验证所提出的方法。实验结果表明,与以前的方法相比,我们的方法具有更高的精度和更稳定的体积保留能力,平均位移误差为0.21mm,雅可比行列式平均值为1.029。

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