A fast image registration algorithm for diffeomorphic image with large deformation

被引：0

作者：

Yan, De-Qin ^{[1
]}

Liu, Cai-Feng ^{[1
]}

Liu, Sheng-Lan ^{[2
]}

Liu, De-Shan ^{[1
]}

机构：

[1] College of Computer and Information Technology, Liaoning Normal University, Dalian,116029, China

[2] School of Computer Science and Technology, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian,116024, China

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2015年 / 41卷 / 08期

关键词：

Learning algorithms - Topology - Image enhancement - Velocity - Deformation;

D O I：

10.16383/j.aas.2015.c140816

中图分类号：

学科分类号：

摘要：

A registration algorithm for large deformation images is porposed. Since image information and topological structure undergo great changes with large deformation, image registration for large deformation images is a challenging work. The diffeomorphic demons algorithm, based on strict mathematical theory, is a famous image registration algorithm, which provides an important basis to solve the problem of large deformation image registration. Based on the study of the diffeomorphic demons algorithm, by combining the ideas of manifold learning, this paper presents a new algorithm for large deformation image registration (called MRL). The new proposed algorithm improves the diffeomorphic demons velocity field up by capturing both local and global manifold information of the image, and better maintains the topology of the image. Comparative experiment results show that the algorithm can quickly realize large deformation registration with a higher precision. Copyright © 2015 Acta Autornatica. All rights reserved.

引用

页码：1461 / 1470

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