Nonrigid registration of images with different topologies using embedded maps.
Nonrigid registration of images with different topologies using embedded maps.
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使用嵌入式地图对具有不同拓扑的图像进行非刚性配准。
DOI：
10.1109/iembs.2006.260785
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Laurienti,PaulJ
中科院分区：
文献类型：
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作者：
Wyatt,ChristopherL;Laurienti,PaulJ
由于解剖结构的正常变化、图像伪影和病理的存在，在医学图像中发生图像拓扑的变化。由于必须引入非光滑几何变换，因此为了基于图谱的分割或变形分析的目的而经历拓扑变化的图像的非刚性配准是具有挑战性的。由于大多数配准方法对允许的变换施加平滑约束，因此它们要么不对此类变化进行建模，要么在存在此类变化的情况下表现不佳。在本文中，我们描述了一种非刚性配准处理的图像作为嵌入地图变形的黎曼空间的方法。我们表明，在原始图像中的拓扑变化表示的平滑变换，可以得到和描述的演变的偏微分方程。从脑形态测量的二维例子来说明的方法
Changes in image topology occur in medical images due to normal variation in anatomy, image artifacts, and the presence of pathology. Non-rigid registration of images undergoing topological change for the purpose of atlas-based segmentation or deformation analysis is challenging since non-smooth geometric transformations must be introduced. As most registration methods impose a smoothness constraint on the allowable transformations they either do not model such changes or perform poorly in their presence. In this paper we describe an approach to non-rigid registration treating the images as embedded maps that deform in a Riemannian space. We show that smooth transformations representing topological changes in the original images can be obtained and describe the evolution in terms of a partial differential equation. Two-dimensional examples from brain morphometry are used to illustrate the method