Enhanced accuracy in registration of cortex functional data via large-deformation differomorphic maps

Behrang Nosrat Makouei, Lei Wang, Mirza Faisal Beg

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

Abstract

The complex folding pattern of the cerebral cortex has presented a major obstacle for functional MRI studies. The considerable variability in the folding structure of the cortex virtually prevents all low-dimensional registration methods from giving accurate normalization in this area. On the other hand, growing research on localizing the human neurological behavior on cortex, and the need for mapping the subjects into a standard coordinate space before performing statistical analysis, calls for more accurate mapping and registration methods. In this paper we present our approach of using the FreeSurfer software package together with the large deformation differomorphic metric maps (LDDMM) to first automatically segment the Cortex using the former and then compute accurate differomorphic mappings between each subject and the selected template's brain using the latter. We present a comparison of the accuracy of our approach with the mapping algorithm implemented in the SPM software package using a synthetic fMRI data-set.

Original languageEnglish (US)
Title of host publication2007 Canadian Conference on Electrical and Computer Engineering, CCECD
Pages1159-1162
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 Canadian Conference on Electrical and Computer Engineering, CCECD - Vancouver, BC, Canada
Duration: Apr 22 2007Apr 26 2007

Publication series

NameCanadian Conference on Electrical and Computer Engineering
ISSN (Print)0840-7789

Other

Other2007 Canadian Conference on Electrical and Computer Engineering, CCECD
CountryCanada
CityVancouver, BC
Period4/22/074/26/07

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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