Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms

Christos Davatzikos, Dengfeng Liu, Dinggang Shen, Edward H. Herskovits

Research output: Contribution to journalArticle

Abstract

An image analysis method was developed for spatial normalization of spine magnetic resonance images. A deformable shape model of the spine is first constructed, and it is subsequently used by an automated algorithm to find a shape transformation that places patient data into a stereotaxic space. Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms.

Original languageEnglish (US)
Pages (from-to)919-926
Number of pages8
JournalRadiology
Volume224
Issue number3
DOIs
StatePublished - Sep 2002

Keywords

  • Computers, diagnostic aid
  • Model, mathematical
  • Spine
  • Stereotaxis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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