Quantitative analysis of brain pathology based on MRI and brain atlases-Applications for cerebral palsy

Andreia V. Faria, Alexander Hoon, Elaine Stashinko, Xin Li, Hangyi Jiang, Ameneh Mashayekh, Kazi Akhter, John Hsu, Kenichi Oishi, Jiangyang Zhang, Michael I. Miller, Peter C.M. van Zijl, S. Mori Susumu

Research output: Contribution to journalArticle

Abstract

We have developed a new method to provide a comprehensive quantitative analysis of brain anatomy in cerebral palsy patients, which makes use of two techniques: diffusion tensor imaging and automated 3D whole brain segmentation based on our brain atlas and a nonlinear normalization technique (large-deformation diffeomorphic metric mapping). This method was applied to 13 patients and normal controls. The reliability of the automated segmentation revealed close agreement with the manual segmentation. We illustrate some potential applications for individual characterization and group comparison. This technique also provides a framework for determining the impact of various neuroanatomic features on brain functions.

Original languageEnglish (US)
Pages (from-to)1854-1861
Number of pages8
JournalNeuroImage
Volume54
Issue number3
DOIs
StatePublished - Feb 1 2011

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Fingerprint Dive into the research topics of 'Quantitative analysis of brain pathology based on MRI and brain atlases-Applications for cerebral palsy'. Together they form a unique fingerprint.

  • Cite this