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 proceedingConference contribution

3 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 languageEnglish
Title of host publicationComputational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
PublisherCRC Press/Balkema
Pages3-8
Number of pages6
ISBN (Print)9781138029262
Publication statusPublished - 2016
Externally publishedYes
Event5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 - Tenerife, Spain
Duration: 2015 Oct 192015 Oct 21

Other

Other5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
CountrySpain
CityTenerife
Period15/10/1915/10/21

    Fingerprint

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Electrical and Electronic Engineering

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 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). CRC Press/Balkema.