Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis
Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis
复制标题
具有细分格子的非刚性图像配准：在心脏 MR 图像分析中的应用
DOI：
10.1007/978-3-540-75757-3_41
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
D. Rueckert
中科院分区：
文献类型：
--
作者：
R. Chandrashekara;R. Mohiaddin;R. Razavi;D. Rueckert
在本文中，我们提出了一种新的方法，在标记MRI中使用基于细分表面和细分网格的非刚性图像配准进行心脏运动跟踪。我们使用两组注册来进行运动跟踪。首先，使用一组表面配准来创建左心室细分模型，并将其与短轴和长轴MR图像进行初步对齐。其次，使用一系列的体积配准来进行运动跟踪，并从标记的MR图像中重建4D心脏运动场。通过将收缩期间拍摄的图像与舒张末期拍摄的一组参考图像相匹配，计算心肌中某一点随时间的运动。配准是通过优化基格中顶点的位置来实现的，从而使待配准图像的互信息最大化。所提出的方法是通过心脏运动模拟器验证的，我们还提供了一组正常志愿者的应变测量结果。
In this paper we present a new methodology for cardiac motion tracking in tagged MRI using nonrigid image registration based on subdivision surfaces and subdivision lattices. We use two sets of registrations to do the motion tracking. First, a set of surface registrations is used to create and initially align the subdivision model of the left ventricle with short-axis and long-axis MR images. Second, a series of volumetric registrations are used to perform the motion tracking and to reconstruct the 4D cardiac motion field from the tagged MR images. The motion of a point in the myocardium over time is calculated by registering the images taken during systole to the set of reference images taken at end-diastole. Registration is achieved by optimizing the positions of the vertices in the base lattice so that the mutual information of the images being registered is maximized. The presented method is validated using a cardiac motion simulator and we also present strain measurements obtained from a group of normal volunteers.