An adaptive non-rigid image registration technique using hierarchical B-splines

Aishwarya Pawar; Yongjie Zhang; Xiaodong Wei; Yue Jia; Timon Rabczuk; Chiu Ling Chan; Cosmin Anitescu

doi:10.1201/b19241-3

An adaptive non-rigid image registration technique using hierarchical B-splines

Aishwarya Pawar, Yongjie Zhang, Xiaodong Wei, Yue Jia, Timon Rabczuk, Chiu Ling Chan, Cosmin Anitescu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

An efficient non-rigid image registration framework aims at accurately constructing a spatial transformation, which enables the smooth deformation of an image in order to correctly align it with the target image. We present a new approach to implement non-rigid image registration, in which the spatial transformation is constructed by using hierarchical B-spline basis functions. Based on the concept of minimization of an energy functional, which drives the registration process by minimizing the difference between the images, the control points are dynamically updated resulting in a new spatial transformation function at each stage of the registration process. Moreover the registration is carried out on a set of successively refined grids, which makes the method more efficient and faster. Instead of uniformly refining the entire control grid, this dynamic implementation is carried out by an adaptive grid refinement procedure, wherein we detect large deformation areas and locally refine these regions. This makes the computation of the spatial transformation more efficient and accurate with fewer number of control points. A comparison between the adaptive grid refinement and uniform grid refinement methods is explained using synthetic and medical images as examples.

Original language	English
Title of host publication	Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
Editors	Joao Manuel R.S. Tavares, R.M. Natal Jorge
Publisher	CRC Press/Balkema
Pages	3-8
Number of pages	6
ISBN (Print)	9781138029262
DOIs	https://doi.org/10.1201/b19241-3
Publication status	Published - 2016
Event	5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 - Tenerife, Spain Duration: 2015 Oct 19 → 2015 Oct 21

Publication series

Name	Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

Other

Other	5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
Country/Territory	Spain
City	Tenerife
Period	15/10/19 → 15/10/21

Bibliographical note

Publisher Copyright:
© 2016 Taylor & Francis Group, London.

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Biomedical Engineering
Electrical and Electronic Engineering

Access to Document

10.1201/b19241-3

Cite this

Pawar, A., Zhang, Y., Wei, X., Jia, Y., Rabczuk, T., Chan, C. L., & Anitescu, C. (2016). An adaptive non-rigid image registration technique using hierarchical B-splines. In J. M. R. S. Tavares, & R. M. N. Jorge (Eds.), Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 (pp. 3-8). (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015). CRC Press/Balkema. https://doi.org/10.1201/b19241-3

An adaptive non-rigid image registration technique using hierarchical B-splines. / Pawar, Aishwarya; Zhang, Yongjie; Wei, Xiaodong et al.
Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. ed. / Joao Manuel R.S. Tavares; R.M. Natal Jorge. CRC Press/Balkema, 2016. p. 3-8 (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pawar, A, Zhang, Y, Wei, X, Jia, Y, Rabczuk, T, Chan, CL & Anitescu, C 2016, An adaptive non-rigid image registration technique using hierarchical B-splines. in JMRS Tavares & RMN Jorge (eds), Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015, CRC Press/Balkema, pp. 3-8, 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015, Tenerife, Spain, 15/10/19. https://doi.org/10.1201/b19241-3

Pawar A, Zhang Y, Wei X, Jia Y, Rabczuk T, Chan CL et al. An adaptive non-rigid image registration technique using hierarchical B-splines. In Tavares JMRS, Jorge RMN, editors, Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. CRC Press/Balkema. 2016. p. 3-8. (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015). doi: 10.1201/b19241-3

Pawar, Aishwarya ; Zhang, Yongjie ; Wei, Xiaodong et al. / An adaptive non-rigid image registration technique using hierarchical B-splines. Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015. editor / Joao Manuel R.S. Tavares ; R.M. Natal Jorge. CRC Press/Balkema, 2016. pp. 3-8 (Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015).

@inproceedings{c437819a59b140838ff5c938a02f9acc,

title = "An adaptive non-rigid image registration technique using hierarchical B-splines",

abstract = "An efficient non-rigid image registration framework aims at accurately constructing a spatial transformation, which enables the smooth deformation of an image in order to correctly align it with the target image. We present a new approach to implement non-rigid image registration, in which the spatial transformation is constructed by using hierarchical B-spline basis functions. Based on the concept of minimization of an energy functional, which drives the registration process by minimizing the difference between the images, the control points are dynamically updated resulting in a new spatial transformation function at each stage of the registration process. Moreover the registration is carried out on a set of successively refined grids, which makes the method more efficient and faster. Instead of uniformly refining the entire control grid, this dynamic implementation is carried out by an adaptive grid refinement procedure, wherein we detect large deformation areas and locally refine these regions. This makes the computation of the spatial transformation more efficient and accurate with fewer number of control points. A comparison between the adaptive grid refinement and uniform grid refinement methods is explained using synthetic and medical images as examples.",

author = "Aishwarya Pawar and Yongjie Zhang and Xiaodong Wei and Yue Jia and Timon Rabczuk and Chan, {Chiu Ling} and Cosmin Anitescu",

note = "Publisher Copyright: {\textcopyright} 2016 Taylor & Francis Group, London.; 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 ; Conference date: 19-10-2015 Through 21-10-2015",

year = "2016",

doi = "10.1201/b19241-3",

language = "English",

isbn = "9781138029262",

series = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",

publisher = "CRC Press/Balkema",

pages = "3--8",

editor = "Tavares, {Joao Manuel R.S.} and Jorge, {R.M. Natal}",

booktitle = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",

}

TY - GEN

T1 - An adaptive non-rigid image registration technique using hierarchical B-splines

AU - Pawar, Aishwarya

AU - Zhang, Yongjie

AU - Wei, Xiaodong

AU - Jia, Yue

AU - Rabczuk, Timon

AU - Chan, Chiu Ling

AU - Anitescu, Cosmin

PY - 2016

Y1 - 2016

N2 - An efficient non-rigid image registration framework aims at accurately constructing a spatial transformation, which enables the smooth deformation of an image in order to correctly align it with the target image. We present a new approach to implement non-rigid image registration, in which the spatial transformation is constructed by using hierarchical B-spline basis functions. Based on the concept of minimization of an energy functional, which drives the registration process by minimizing the difference between the images, the control points are dynamically updated resulting in a new spatial transformation function at each stage of the registration process. Moreover the registration is carried out on a set of successively refined grids, which makes the method more efficient and faster. Instead of uniformly refining the entire control grid, this dynamic implementation is carried out by an adaptive grid refinement procedure, wherein we detect large deformation areas and locally refine these regions. This makes the computation of the spatial transformation more efficient and accurate with fewer number of control points. A comparison between the adaptive grid refinement and uniform grid refinement methods is explained using synthetic and medical images as examples.

AB - An efficient non-rigid image registration framework aims at accurately constructing a spatial transformation, which enables the smooth deformation of an image in order to correctly align it with the target image. We present a new approach to implement non-rigid image registration, in which the spatial transformation is constructed by using hierarchical B-spline basis functions. Based on the concept of minimization of an energy functional, which drives the registration process by minimizing the difference between the images, the control points are dynamically updated resulting in a new spatial transformation function at each stage of the registration process. Moreover the registration is carried out on a set of successively refined grids, which makes the method more efficient and faster. Instead of uniformly refining the entire control grid, this dynamic implementation is carried out by an adaptive grid refinement procedure, wherein we detect large deformation areas and locally refine these regions. This makes the computation of the spatial transformation more efficient and accurate with fewer number of control points. A comparison between the adaptive grid refinement and uniform grid refinement methods is explained using synthetic and medical images as examples.

UR - http://www.scopus.com/inward/record.url?scp=84959295148&partnerID=8YFLogxK

U2 - 10.1201/b19241-3

DO - 10.1201/b19241-3

M3 - Conference contribution

AN - SCOPUS:84959295148

SN - 9781138029262

T3 - Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

SP - 3

EP - 8

BT - Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

A2 - Tavares, Joao Manuel R.S.

A2 - Jorge, R.M. Natal

PB - CRC Press/Balkema

T2 - 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015

Y2 - 19 October 2015 through 21 October 2015

ER -

An adaptive non-rigid image registration technique using hierarchical B-splines

Abstract

Publication series

Other

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this