一项关于采用金字塔数据结构通过互信息进行医学图像配准的研究。

A study on medical image registration by mutual information with pyramid data structure.

作者信息

Xu Peng, Yao DeZhong

机构信息

School of Life Science and Technology, University of Electronic Science and Technology of China, ChengDu, China.

出版信息

Comput Biol Med. 2007 Mar;37(3):320-7. doi: 10.1016/j.compbiomed.2006.02.005. Epub 2006 May 2.

DOI:10.1016/j.compbiomed.2006.02.005

PMID:16631153

Abstract

The registration method based on mutual information is currently a popular technique for medical image registration, but the computation of the mutual information is complex and the registration speed is slow. In this work, a new slice accumulation pyramid (SAP) data structure was proposed to expedite the registration process. A numerical comparative study between the new data structure and the existing wavelet pyramid (WP) data structure was given, and the results confirmed that the new pyramid data structure was superior to the WP in both the calculation efficiency and the optimizing performance. Finally, SAP was applied to remove the artifacts between CT and MRI data sets, and the results showed the validation of SAP to registration of mulmodality images.

摘要

基于互信息的配准方法是目前医学图像配准中的一种常用技术，但互信息的计算复杂且配准速度慢。在这项工作中，提出了一种新的切片累积金字塔（SAP）数据结构来加速配准过程。对新数据结构与现有的小波金字塔（WP）数据结构进行了数值对比研究，结果证实新的金字塔数据结构在计算效率和优化性能方面均优于WP。最后，将SAP应用于去除CT和MRI数据集之间的伪影，结果表明SAP对多模态图像配准的有效性。