Applications of SLIM (Spectral Localization by Imaging) localization technique
Lee, Haak Il
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Permalink
https://hdl.handle.net/2142/18969
Description
Title
Applications of SLIM (Spectral Localization by Imaging) localization technique
Author(s)
Lee, Haak Il
Issue Date
1990
Doctoral Committee Chair(s)
Lauterbur, Paul C.
Department of Study
Chemistry
Discipline
Chemistry
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Chemistry, Physical
Language
eng
Abstract
Because of the intrinsic inhomogeneity in the composition of living systems, applications of nuclear magnetic resonance spectroscopy (MRS) to the biological system require techniques that can discriminate signals according to their spatial origins and detect signals only from the operator-designated regions. These techniques are called localization techniques. Many techniques have been proposed for the localization of signals and some of them have been widely accepted for clinical applications. The ideal localization technique can be characterized as one which can provide spectrum (or spectra) simultaneously from any arbitrarily-shaped region (or regions) of interest in 2 or 3 spatial dimensions within a reasonable amount of experimental time. All the localization techniques that have been suggested so far are quite limited in their abilities compared to the requirements in the above ideal conditions.
The Spectral Localization by IMaging (SLIM) technique that has been recently developed by this research group in collaboration with a group at the Univ. of Chicago has proved to very effective in obtaining localized spectra from regions of interest of any shape within a short time compared with other methods. This SLIM technique was first described for the proton spectroscopy of water and fat in 2D slices. We have made SLIM a more useful localization technique by showing it has many applications including (a) 4D $\sp{31}$P SLIM with 3D proton images, (b) SLIM with water suppression techniques, (c) SLIM with a surface coil, (d) SLIM with an adiabatic pulse, (e) SLIM with a projection reconstruction technique. Finally, the potential sources of error, which come from deviations from the original assumptions, were analyzed experimentally.
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