An adaptive irregular grid approach for 3D deformable image registration
An adaptive irregular grid approach for 3D deformable image registration
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DOI：
10.1088/0031-9155/51/2/012
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发表时间：
2006-01-21
影响因子：
3.5
通讯作者：
Rohr, K
中科院分区：
文献类型：
--
作者：
Pekar, V;Gladilin, E;Rohr, K
可变形配准是医学图像分析处理中的一个重要应用。我们提出了一种基于物理的可变形图像配准的参数方法，其中非刚性变换是使用分布在图像域中的不规则控制点网格来计算的。该图像被建模为三维(3D)均匀无限弹性介质。假设在每个控制点上施加一个高斯力，其中力的强度、方向和影响区域以及控制点的位置被视为自由参数，其优化导致待配准图像之间的相似性度量最大化。对于优化问题，采用了计算效率较高的Lvenberg-MarQuardt方法。与传统的基于地标的配准方法或基于正则网格的配准方法(如B-Spline)相比，该方法具有一定的优势，因为使用较少的控制点就可以获得类似的结果。对3D临床图像的实验结果表明，我们的方法能够成功地处理复杂的配准任务。
Deformable registration is an important application in medical image analysis and processing. We propose a physics-based parametric approach for deformable image registration, where non-rigid transformations are computed using an irregular grid of control points distributed within the image domain. The image is modelled as a three-dimensional (3D) homogeneous infinite elastic medium. It is assumed that a Gaussian-shaped force is applied at every control point, where the strengths, directions and influence areas of the forces as well as the positions of the control points are considered as free parameters whose optimization leads to maximization of the similarity measure between the images to be registered. For optimization, a computationally efficient Levenberg-Marquardt method is used. The proposed approach has certain advantages over traditional landmark-based methods or the registration methods based on regulargrids, for example B-splines, since comparable results can be achieved by using less control points. Experimental results with 3D clinical images demonstrate that our method is capable of successfully coping with complex registration tasks.