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Intensity-Based Deformable Image Registration with Anatomical Constraints for Adaptive Radiation Therapy

机译:具有解剖约束的基于强度的可变形图像配准,用于自适应放射治疗

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摘要

We propose a deformable image registration algorithm that incorporates shape constraints into an intensity-based diffusion algorithm. The shape of a target is represented by a set of landmark pairs delineated by automatic algorithm or by user selected points in an image pair to be registered. The landmark pairs are used as control points to create a spline function in the form of linear combinations of radial bases as shape constraints to regularize the deformation vector field created by the intensity-based algorithm. The algorithm starts with an intensity-based image registration to establish voxel-by-voxel correspondences.
机译:我们提出了一种可变形的图像配准算法,该算法将形状约束合并到基于强度的扩散算法中。目标的形状由一组地标对表示,这些地标对由自动算法或要注册的图像对中的用户选择的点划定。地标对用作控制点,以径向基的线性组合形式创建样条函数,作为形状约束,以规范基于强度的算法创建的变形矢量场。该算法从基于强度的图像配准开始,以建立逐个体素的对应关系。

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