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
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
收藏
页码:1461 / 1470
相关论文
共 50 条
  • [11] Fast GPU 3D diffeomorphic image registration
    Brunn, Malte
    Himthani, Naveen
    Biros, George
    Mehl, Miriam
    Mang, Andreas
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2021, 149 : 149 - 162
  • [12] Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
    Mok, Tony C. W.
    Chung, Albert C. S.
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2020, : 4643 - 4652
  • [13] A fast algorithm of image registration
    Han, Wei
    Wang, Yue
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONIC, INDUSTRIAL AND CONTROL ENGINEERING, 2015, 8 : 820 - 823
  • [14] A fast algorithm for image registration
    Fehrenbach, Jerome
    Masmoudi, Mohamed
    COMPTES RENDUS MATHEMATIQUE, 2008, 346 (9-10) : 593 - 598
  • [15] Adaptive Diffeomorphic Multiresolution Demons and Their Application to Same Modality Medical Image Registration with Large Deformation
    Wang, Chang
    Ren, Qiongqiong
    Qin, Xin
    Yu, Yi
    INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING, 2018, 2018 (2018)
  • [16] Non-parametric diffeomorphic image registration with the demons algorithm
    Vereauteren, Tom
    Pennec, Xavier
    Perchant, Aymeric
    Ayache, Nicholas
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION- MICCAI 2007, PT 2, PROCEEDINGS, 2007, 4792 : 319 - +
  • [17] Reduction by Lie Group Symmetries in Diffeomorphic Image Registration and Deformation Modelling
    Sommer, Stefan
    Jacobs, Henry O.
    SYMMETRY-BASEL, 2015, 7 (02): : 599 - 624
  • [18] Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
    Sheikhjafari, Ameneh
    Krishnaswamy, Deepa
    Noga, Michelle
    Ray, Nilanjan
    Punithakumar, Kumaradevan
    arXiv, 2022,
  • [19] NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
    Tian, Lin
    Greer, Hastings
    Estepar, Raul San Jose
    Sengupta, Roni
    Niethammer, Marc
    COMPUTER VISION - ECCV 2024, PT LXXXVIII, 2025, 15146 : 213 - 237
  • [20] Diffeomorphic image registration with bijective consistency
    Wu, Jiong
    Li, Hongming
    Fan, Yong
    MEDICAL IMAGING 2024: IMAGE PROCESSING, 2024, 12926