Spatio-temporal free-form registration of cardiac MR image sequences
Spatio-temporal free-form registration of cardiac MR image sequences
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DOI：
10.1016/j.media.2005.05.004
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发表时间：
2005-10-01
影响因子：
10.9
通讯作者：
Rueckert, D
中科院分区：
文献类型：
--
作者：
Perperidis, D;Mohiaddin, RH;Rueckert, D
在本文中，我们提出了两个配准算法的心脏MR图像序列的时空对齐。这两种算法都有能力纠正由全局和局部形状差异引起的图像序列之间的空间错位。此外，它们能够校正由心动周期长度的差异和心脏动态特性的差异引起的时间错位。该算法使用一个4D可变形的变换模型，该模型分为空间和时间分量。第一种配准算法同时优化空间和时间变换模型，而第二种配准算法在优化空间分量之前优化时间变换分量。为了评价的时空配准方法，我们已经获得了15个MR图像序列从健康志愿者。通过测量解剖区域的重叠和表面距离定量评价配准方法，并通过目视检查定性评价配准方法。结果表明，一个显着的改善，在对齐的图像序列是通过使用可变形的时空变换模型。我们证明了使用的概率MR心脏图谱的解剖结构和功能的健康心脏的建设的方法。(c)2005 Elsevier B.V.保留所有权利。
In this paper we present two registration algorithms for the spatio-temporal alignment of cardiac MR image sequences. Both algorithms have the ability to correct spatial misalignment between the images sequences caused by global and local shape differences. In addition, they have the ability to correct temporal misalignment caused by differences in the length of the cardiac cycles and by differences in the dynamic properties of the hearts. The algorithms use a 4D deformable transformation model which is separated into spatial and temporal components. The first registration algorithm optimizes the spatial and temporal transformation models simultaneously, while the second registration algorithm optimizes the temporal transformation component before optimizing the spatial component. For the evaluation of the spatio-temporal registration methods we have acquired 15 MR image sequences from healthy volunteers. The registration methods were quantitatively evaluated by measuring the overlap and surface distance of anatomical regions and qualitatively by visual inspection. The results demonstrate that a significant improvement in the alignment of the image sequences is achieved by the use of the deformable spatio-temporal transformation model. We demonstrate the use of the method for the construction of a probabilistic MR cardiac atlas representing the anatomy and function of a healthy heart. (c) 2005 Elsevier B.V. All rights reserved.