The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Optimal Diffusion Encoding Strategies for Fiber Mapping in Diffusion MRI
|
|
Author(s): Dimitrios C. Karampinos (University of Illinois at Urbana-Champaign, USA), Robert Dawe (Illinois Institute of Technology, USA), Konstantinos Arfanakis (Illinois Institute of Technology, USA)and John G. Georgiadis (University of Illinois at Urbana-Champaign, USA)
Copyright: 2009
Pages: 18
Source title:
Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Source Author(s)/Editor(s): Themis P. Exarchos (University of Ioannina, Greece ), Athanasios Papadopoulos (University of Ioannina, Greece )and Dimitrios I. Fotiadis (University of Ioannina, Greece )
DOI: 10.4018/978-1-60566-314-2.ch007
Purchase
|
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.
Related Content
|
Julia Zimmer, Elisa Degenkolbe, Britt Wildemann, Petra Seemann.
© 2013.
30 pages.
|
|
George I. Lambrou, Maria Adamaki, Apostolos Zaravinos.
© 2013.
22 pages.
|
|
Svetoslav Nikolov, Mukhtar Ullah, Momchil Nenov, Julio Vera Gonzalez, Peter Raasch, Olaf Wolkenhauer.
© 2013.
23 pages.
|
|
Ana M. Sotoca, Michael Weber, Everardus J. J. van Zoelen.
© 2013.
19 pages.
|
|
Franz Ricklefs, Sonja Schrepfer.
© 2013.
16 pages.
|
|
Sonja Schallenberg, Cathleen Petzold, Julia Riewaldt, Karsten Kretschmer.
© 2013.
25 pages.
|
|
Ali Mobasheri.
© 2013.
32 pages.
|
|
|