A novel dynamic multilevel technique for image registration

Yue Jia, Yongjie Zhang, Timon Rabczuk

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


We present a novel dynamic multilevel technique for solving image registration problems. The development is carried out to construct a spatial transformation based on cubic B-spline basis functions and determine the control points dynamically. Unlike FEM-based image registration methods, we do not have the difficulty of solving a complicated matrix system. In addition, the presented method is enhanced by a multilevel technique, which makes it more efficient and flexible. The numerical results and several comparison studies on real bio-medical images show our technique is stable, accurate and fast, especially for large deformation registration problems.

Original languageEnglish
Pages (from-to)909-925
Number of pages17
JournalComputers and Mathematics with Applications
Issue number9
Publication statusPublished - 2015 May 1

Bibliographical note

Funding Information:
The authors would like to thank the support by the European Union through the FP7-grant ITN (Marie Curie Initial Training Networks) INSIST (Integrating Numerical Simulation and Geometric Design Technology) PITN-GA-2011-289361 , US NSF CAREER Award OCI-1149591 , AFOSR grant FA9550-11-1-0346 , and PECASE Award N00014-14-1-0234 .

Publisher Copyright:
© 2015 Elsevier Ltd.


  • Bio-medical images
  • Cubic B-splines
  • Dynamical multilevel modeling
  • Image registration
  • Large deformation

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computational Theory and Mathematics
  • Computational Mathematics


Dive into the research topics of 'A novel dynamic multilevel technique for image registration'. Together they form a unique fingerprint.

Cite this