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多刚体和多仿射变换:一种处理非刚性变形的新型几何工具——在组织学切片配准中的应用。

Polyrigid and polyaffine transformations: a novel geometrical tool to deal with non-rigid deformations - application to the registration of histological slices.

作者信息

Arsigny Vincent, Pennec Xavier, Ayache Nicholas

机构信息

INRIA Sophia, Epidaure Team, 2004 Route des Lucioles, F-06902 Sophia-Antipolis Cedex, France.

出版信息

Med Image Anal. 2005 Dec;9(6):507-23. doi: 10.1016/j.media.2005.04.001. Epub 2005 Jun 3.

Abstract

We describe in this paper a novel kind of geometrical transformations, named polyrigid and polyaffine. These transformations efficiently code for locally rigid or affine deformations with a small number of intuitive parameters. They can describe compactly large rigid or affine movements, unlike most free-form deformation classes. Very flexible, this tool can be readily adapted to a large variety of situations, simply by tuning the number of rigid or affine components and the number of parameters describing their regions of influence. The displacement of each spatial position is defined by a continuous trajectory that follows a differential equation which averages the influence of each rigid or affine component. We show that the resulting transformations are diffeomorphisms, smooth with respect to their parameters. We devise a new and flexible numerical scheme to allow a trade-off between computational efficiency and closeness to the ideal diffeomorphism. Our algorithms are implemented within the Insight Toolkit, whose generic programming style offers rich facilities for prototyping. In this context, we derive an effective optimization strategy of the transformations which demonstrates that this new tool is highly suitable for inference. The whole framework is exemplified successfully with the registration of histological slices. This choice is challenging, because these data often present locally rigid deformations added during their acquisition, and can also present a loss of matter, which makes their registration even more difficult. Powerful and flexible, this new tool opens up large perspectives, in non-rigid 3D rigid registration as well as in shape statistics.

摘要

我们在本文中描述了一种新型的几何变换,称为多刚体变换和多仿射变换。这些变换通过少量直观的参数有效地编码局部刚体或仿射变形。与大多数自由形式变形类别不同,它们可以紧凑地描述大的刚体或仿射运动。这种工具非常灵活,只需调整刚体或仿射分量的数量以及描述其影响区域的参数数量,就可以很容易地适应各种情况。每个空间位置的位移由一条连续轨迹定义,该轨迹遵循一个微分方程,该方程对每个刚体或仿射分量的影响进行平均。我们证明了由此产生的变换是微分同胚,相对于其参数是光滑的。我们设计了一种新的灵活数值方案,以在计算效率和接近理想微分同胚之间进行权衡。我们的算法在Insight Toolkit中实现其通用编程风格为原型设计提供了丰富的功能。在这种情况下,我们推导了变换的有效优化策略,证明了这个新工具非常适合推理。整个框架通过组织学切片的配准成功地得到了例证。这个选择具有挑战性,因为这些数据在采集过程中经常会出现局部刚体变形,并且还可能出现物质损失,这使得它们的配准更加困难。这种强大而灵活的新工具在非刚性3D刚体配准以及形状统计方面开辟了广阔的前景。

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