Reconstruction of central cortical surface from brain MRI images: Method and application

Jingxin Nie, Tianming Liu, Lei Guo, Stephen T.C. Wong

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

3 Scopus citations

Abstract

Reconstruction of the geometric central surface of the human cerebral cortex is an important means to study the structure and function of the brain cortex. In this paper, we propose a novel method based on an elastic deformable transform vector field to drive a deformable model for the reconstruction of the central surface of the brain cortex. In addition, simulated brain cortexes are generated to evaluate this method. We report the evaluation results obtained from ten subjects to show the effectiveness of our approach. We applied the central cortical surface reconstruction method and the hybrid cortical surface registration method to detect simulated brain atrophy. Our results indicate that the central cortical surface has much better sensitivity in detecting simulated atrophy than traditionally used inner or outer cortical surfaces.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages213-216
Number of pages4
DOIs
StatePublished - 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

Keywords

  • Atrophy detection
  • Central cortical surface
  • MRI images

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

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