Hierarchical attribute-guided symmetric diffeomorphic registration for MR brain images

Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)


Deformable registration has been widely used in neuroscience studies for spatial normalization of brain images onto a standard space. Due to high anatomical variances across individual brains, registration performance could be limited when trying to estimate entire deformation pathway either from template to subject or subject to template. Symmetric image registration offers an effective way to simultaneously deform template and subject images towards each other until they meet at the middle point. Although some intensity-based registration algorithms have nicely incorporated this concept of symmetric deformation, the intensity matching between two images may not necessarily imply the correct matching of anatomical correspondences. In this paper, we integrate both strategies of hierarchical attribute matching and symmetric diffeomorphic deformation for building a new symmetric-diffeomorphic registration algorithm for MR brain images. The performance of our proposed method has been extensively evaluated and further compared with top-ranked image registration methods (SyN and diffeomorphic Demons) on brain MR images. In all experiments, our registration method achieves the best registration performance, compared to all other state-of-the-art registration methods.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsGeorg Langs, Albert Montillo, Bjoern H. Menze, Georg Langs, Antonio Criminisi, Bjoern H. Menze, Nicholas Ayache, Hervé Delingette, Zhuowen Tu, Le Lu, Polina Golland, Kensaku Mori
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783642334177
Publication statusPublished - 2012
Event15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: 2012 Oct 52012 Oct 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2012.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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