Diffusion tensor imaging based analysis of neurological disorders

Tianming Liu, Stephen T. Wong

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) allow in vivo investigation of molecular motion of tissue water at a microscopic level in cerebral gray matter (GM) and white matter (WM). Quantitative analysis of GM diffusivity and/or WM fiber integrity is of significant interest and promises to have a clinical impact on the investigation of many neurological diseases. This chapter briefly reviews several selected DWI/DTI studies in neurological disorders. Then, we introduce an automated framework for analysis of GM diffusivity in 76 standard anatomic subdivisions of gray matter in order to facilitate studies of neurodegenerative and other gray matter neurological diseases. The computational framework includes three enabling technologies: (1) automatic parcellation of structuralMRIGMinto 76 precisely defined neuroanatomic subregions (“76-space”), (2) automated segmentation of GM, WM and CSF based on DTI data, and (3) automatic measurement of the average apparent diffusion coefficient(ADC)in each segmentedGMsubregion.We applied this computational framework of 76-space GM diffusivity analysis on normal brains and patient brains with Creutzfeldt-Jakob disease.

Original languageEnglish (US)
Title of host publicationPrinciples and Advanced Methods in Medical Imaging and Image Analysis
PublisherWorld Scientific Publishing Co.
Pages703-724
Number of pages22
ISBN (Print)9789812814807, 9789812705341
DOIs
StatePublished - Jan 1 2008

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint Dive into the research topics of 'Diffusion tensor imaging based analysis of neurological disorders'. Together they form a unique fingerprint.

Cite this