Large deformation diffeomorphic registration of diffusion-weighted images

Pei Zhang, Marc Niethammer, Dinggang Shen, Pew Thianyap

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

6 Citations (Scopus)


Registration of Diffusion-weighted imaging (DWI) data emerges as an important topic in magnetic resonance (MR) image analysis. As existing methods are often designed for specific diffusion models, it is difficult to fit to the registered data different models other than the one used for registration. In this paper we describe a diffeomorphic registration algorithm for DWI data in a large deformation setting. Our method generates spatially normalized DWI data and it is thus possible to fit various diffusion models after registration for comparison purposes. Our algorithm includes (1) a reorientation component, where each diffusion profile (DWI signal as a function on a unit sphere) is decomposed, reoriented and recomposed to form the orientation-corrected DWI profile, and (2) a large deformation diffeomorphic registration component to ensure one-to-one mapping in a large-structural-variation scenario. In addition our algorithm uses a geodesic shooting mechanism to avoid the huge computational resources that are needed to register high-dimensional vector-valued data. We also incorporate into our algorithm a multi-kernel strategy where anatomical structures at different scales are considered simultaneously during registration. We demonstrate the efficacy of our method using in vivo data.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsAntonio Criminisi, Zhuowen Tu, Le Lu, Georg Langs, Albert Montillo, Bjoern H. Menze, Nicholas Ayache, Hervé Delingette, Bjoern H. Menze, Georg Langs, Polina Golland, Kensaku Mori
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783642334177
Publication statusPublished - 2012
Externally publishedYes
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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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