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

机译:具有金字塔数据结构的互信息医学图像配准研究。

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摘要

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.
机译:当前,基于互信息的配准方法是医学图像配准的流行技术,但是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,以加快注册过程。对新数据结构与现有的小波金字塔数据结构进行了数值比较研究,结果表明,新的金字塔数据结构在计算效率和优化性能上均优于WP。最后,应用SAP去除CT和MRI数据集之间的伪影,结果表明SAP在多模态图像配准中的有效性。

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