A fast and accurate algorithm for diffeomorphic and symmetric non-rigid registration of brain magnetic resonance images

Shih Yen Lin, Yong-Sheng Chen*, Li Fen Chen, Li Fen Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a non-rigid, symmetric and diffeomorphic algorithm for the registration of MR images. A log-Euclidean framework was used to model diffeomorphisms. Multiple features were used to enhance the speed of the proposed algorithm, including compactly supported Wendland’s basis functions as models of velocity fields, a greedy optimization strategy, and a coarse-to-fine hierarchical framework. Symmetry was ensured through the invertibility of diffeomorphisms and the symmetry of the objective function and optimization algorithm. The proposed algorithm was evaluated using the results of 1560 pairwise registrations of 40 T1-weighted MRIs in the LPBA40 dataset. Our results demonstrated that the proposed algorithm is diffeomorphic with sub-voxel accuracy in terms of symmetry. The proposed algorithm outperforms 14 other registration algorithms in terms of speed (compared with diffeomorphic algorithms) and accuracy.

Original languageEnglish
Title of host publication1st Global Conference on Biomedical Engineering and 9th Asian-Pacific Conference on Medical and Biological Engineering
EditorsShyh-Hau Wang, Fong-Chin Su, Ming-Long Yeh
PublisherSpringer Verlag
Pages128-131
Number of pages4
ISBN (Electronic)9783319122618
DOIs
StatePublished - 1 Jan 2015
Event1st Global Conference on Biomedical Engineering, GCBME 2014 and 9th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2014 - Tainan, Taiwan
Duration: 9 Oct 201412 Oct 2014

Publication series

NameIFMBE Proceedings
Volume47
ISSN (Print)1680-0737

Conference

Conference1st Global Conference on Biomedical Engineering, GCBME 2014 and 9th Asian-Pacific Conference on Medical and Biological Engineering, APCMBE 2014
CountryTaiwan
CityTainan
Period9/10/1412/10/14

Keywords

  • Diffeomorphisms
  • Magnetic resonance images
  • Non-rigid registration

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