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Shape-based nonrigid correspondence with application to heart motion analysis

机译:基于形状的非刚性对应关系在心脏运动分析中的应用

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A common problem in many biomedical imaging studies is that of finding a correspondence between two plane curves which aligns their shapes. A mathematical formulation and solutions to this problem is proposed in this paper. The formulation exhibits desirable properties. It allows for one-to-one as well as non-one-to-one correspondences, it consistently compares shape, even in nonrigid situations, and it is completely symmetric with respect to the two curves. A numerical implementation of the algorithm for finding the optimal correspondence is also reported. The algorithm is used to estimate nonrigid motion of the endocardium in MRI image sequences of normal and post-infarct dog hearts. The return error (the difference between the starting and ending positions of a point) is used as a performance measure to evaluate the technique. Since heart motion is periodic, the return error is a measure of consistency of the algorithm. Preliminary applications to other data sets are reported as well.
机译:在许多生物医学成像研究中,一个常见的问题是找到两个平面曲线之间的对应关系,使它们的形状对齐。本文提出了数学公式和解决方案。该制剂表现出期望的性质。它允许一对一和非一对一的对应关系,即使在非刚性情况下,它也始终如一地比较形状,并且相对于两条曲线完全对称。还报告了用于找到最佳对应关系的算法的数值实现。该算法用于估计正常和梗死后狗心脏的MRI图像序列中的心内膜非刚性运动。返回误差(点的起始位置和结束位置之间的差)用作评估该技术的性能指标。由于心脏运动是周期性的,因此返回误差是算法一致性的量度。还报告了对其他数据集的初步应用。

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