Bundles of interest based registration of white matter tractographies

Arnaldo Mayer, Hayit Greenspan

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

Abstract

We present an efficient and robust method for direct registration between fiber bundles of interest and the complete White Matter (WM) tractography of the same or another brain. The method does not require any previous registration between the brains, such as DTI registration, and it can be used for both intra and inter-subject registration. The algorithm is inspired by the well known iterative closest point method. Here, 3D points are replaced by feature vectors representing WM fibers, and the neighborhood is determined by the efficient approximation framework of the locality sensitive hashing. Initial results demonstrate the successful application of the proposed registration method to the automatic extraction of anatomical WM structures in unsegmented brain tractographies.

Original languageEnglish
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, Proceedings, ISBI
Pages919-922
Number of pages4
DOIs
StatePublished - 2008
Event2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France
Duration: 14 May 200817 May 2008

Publication series

Name2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Conference

Conference2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Country/TerritoryFrance
CityParis
Period14/05/0817/05/08

Keywords

  • DTI
  • Iterative closest point
  • Registration
  • Tractography
  • White matter

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