A View-Based Approach to Registration: Theory and Application to Vascular Image Registration
A View-Based Approach to Registration: Theory and Application to Vascular Image Registration
复制标题
基于视图的配准方法：血管图像配准的理论与应用
DOI：
10.1007/978-3-540-45087-0_40
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
A. Perera
中科院分区：
文献类型：
--
作者：
C. Stewart;Chia;A. Perera
本文提出了一种方法，注册集中在一个视图的概念-一个组合的图像分辨率，一个变换模型，一个图像区域，该模型目前适用，并从该区域的一组图像图元。配准过程分为三个阶段：初始化，自动视图生成和估计。对于给定的初始估计，后两个交替直到收敛;可以探索几个初始估计。估计过程使用迭代最近点（ICP）技术的新概括，同时考虑每个点的多个对应关系。基于视图的配准成功地应用于血管和神经元图像在2-d和3-d使用相似性，仿射，和二次变换对齐。
This paper presents an approach to registration centered on the notion of a view--a combination of an image resolution, a transformation model, an image region over which the model currently applies, and a set of image primitives from this region. The registration process is divided into three stages: initialization, automatic view generation, and estimation. For a given initial estimate, the latter two alternate until convergence; several initial estimates may be explored. The estimation process uses a novel generalization of the Iterative Closest Point (ICP) technique that simultaneously considers multiple correspondences for each point. View-based registration is applied successfully to alignment of vascular and neuronal images in 2-d and 3-d using similarity, affine, and quadratic transformations.