A novel dynamic multilevel technique for image registration

Yue Jia; Yongjie Zhang; Timon Rabczuk

doi:10.1016/j.camwa.2015.02.010

A novel dynamic multilevel technique for image registration

Yue Jia, Yongjie Zhang, Timon Rabczuk

College of Engineering

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	909-925
Number of pages	17
Journal	Computers and Mathematics with Applications
Volume	69
Issue number	9
DOIs	https://doi.org/10.1016/j.camwa.2015.02.010
Publication status	Published - 2015 May 1

Keywords

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

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10.1016/j.camwa.2015.02.010

Cite this

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title = "A novel dynamic multilevel technique for image registration",

abstract = "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.",

keywords = "Bio-medical images, Cubic B-splines, Dynamical multilevel modeling, Image registration, Large deformation",

author = "Yue Jia and Yongjie Zhang and Timon Rabczuk",

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: {\textcopyright} 2015 Elsevier Ltd.",

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doi = "10.1016/j.camwa.2015.02.010",

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T1 - A novel dynamic multilevel technique for image registration

AU - Jia, Yue

AU - Zhang, Yongjie

AU - Rabczuk, Timon

N1 - 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.

PY - 2015/5/1

Y1 - 2015/5/1

N2 - 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.

AB - 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.

KW - Bio-medical images

KW - Cubic B-splines

KW - Dynamical multilevel modeling

KW - Image registration

KW - Large deformation

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U2 - 10.1016/j.camwa.2015.02.010

DO - 10.1016/j.camwa.2015.02.010

M3 - Article

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SN - 0898-1221

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SP - 909

EP - 925

JO - Computers and Mathematics with Applications

JF - Computers and Mathematics with Applications

IS - 9

ER -

A novel dynamic multilevel technique for image registration

Abstract

Keywords

ASJC Scopus subject areas

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