Spatio-temporal analysis of nonrigid motion from 4D data

C. Nastar, N. Ayache
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引用次数: 19

Abstract

Presents a method for analysis of nonrigid motion in time sequences of volume images (4D data). In this method, nonrigid motion of the deforming object's contour is dynamically approximated by a deformable surface. In order to reduce the number of parameters describing the deformation, we make use of modal analysis, which provides a spatial smoothing of the surface, and Fourier analysis of the time signals of the main deformation spectrum components, which provides a temporal smoothing. Thus, a complex nonrigid deformation displayed in 4D data is described by very few parameters: the main excited spatial modes and the main Fourier harmonics. Therefore, 4D data can be analyzed and reduced in a very efficient way. The power of the approach is illustrated by results on 4D heart-scan data.<>
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基于四维数据的非刚体运动时空分析
提出了一种分析体图像(四维数据)时间序列非刚体运动的方法。在该方法中,变形物体轮廓的非刚性运动被动态地逼近为一个可变形曲面。为了减少描述变形的参数数量,我们使用模态分析,它提供了表面的空间平滑,并对主要变形谱分量的时间信号进行傅里叶分析,它提供了时间平滑。因此,在四维数据中显示的复杂非刚性变形可以用很少的参数来描述:主激发空间模态和主傅里叶谐波。因此,可以非常有效地分析和简化4D数据。4D心脏扫描数据的结果说明了该方法的功能
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