Optimal diffusion encoding strategies for fiber mapping in diffusion MRI

Dimitrios C. Karampinos, Robert J. Dawe, Konstantinos Arfanakis, John G Georgiadis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Diffusion Magnetic Resonance Imaging (diffusion MRI) can provide important information about tissue microstructure by probing the diffusion of water molecules in a biological tissue. Although originally proposed for the characterization of cerebral white matter connectivity and pathologies, its implementation has extended to many other areas of the human body. In a parallel development, a number of diffusion models have been proposed in order to extract the underlying tissue microstructural properties from the diffusion MRI signal. The present study reviews the basic considerations that have to be taken into account in the selection of the diffusion encoding parameters in diffusion MRI acquisition. Both diffusion tensor imaging (DTI) and high-order schemes are reviewed. The selection of these parameters relies strongly on requirements of the adopted diffusion model and the diffusion characteristics of the tissue under study. The authors review several successful parameter selection strategies for the imaging of the human brain, and conclude with the basics of parameter optimization on promising applications of the technique on other tissues, such as the spinal cord, the myocardium, and the skeletal muscles.

Original languageEnglish (US)
Title of host publicationHandbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
PublisherIGI Global
Pages90-107
Number of pages18
ISBN (Print)9781605663142
DOIs
StatePublished - Dec 1 2009

ASJC Scopus subject areas

  • Health Professions(all)

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