Alignment of 3-D medical data sets based on an efficient optimizer and fast voxel recomputation

M. Capek, J. Hozman
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引用次数: 1

Abstract

An efficient volume registration based on global information content is described. In a nutshell this task represents an optimization problem that is solved with respect to robustness and computational speed especially. Strong attention is paid to the choice of a function that measures the quality of the registration (mutual information) and to the choice of an optimization strategy that searches for a global optimum of the function in a parametric space (adaptive simulated annealing). To speed the registration procedure a multi-resolution strategy and an incremental approach to volume resampling are used.
基于高效优化器和快速体素重计算的三维医疗数据集对齐
描述了一种基于全局信息内容的高效卷配准方法。简而言之,这个任务代表了一个优化问题,特别是在鲁棒性和计算速度方面得到解决。高度重视测量配准质量(互信息)的函数的选择,以及在参数空间(自适应模拟退火)中搜索函数的全局最优的优化策略的选择。为了加快配准过程,采用了多分辨率策略和体积重采样增量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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