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Proceedings Paper

Optimization Techniques In Magnetic Resonance Imaging
Author(s): Nola M. Hylton; Douglas A. Ortendahl; Leon Kaufman; Lawrence Crooks
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Paper Abstract

With a minimally complete set of acquired patient data, computational techniques can be used to extract intrinsic quantities and reconstruct magnetic resonance (MR) images. The effects of various sequences can be modeled for the purpose of understanding the functional behavior of the NMR response to a variety ot changing parameters, as well as for the generation of new images without the need of actual acquisition. Maps are constructed which plot the signal difference between two tissues as a function of NMR parameters. These maps can be used as a guide to acquisition parameters for best contrast. Noise in calculated images resulting from the propagation or noise in the calculational process can be accounted for by displaying signal difference-to-noise as a function of NMR parameters. The effects of magnetic field strength changes on relaxation times are modeled using empirical data. These models are used to predict the effects on tissue contrast using difference maps and calculated images that have been extrapolated to new values of field strength.

Paper Details

Date Published: 11 June 1985
PDF: 1 pages
Proc. SPIE 0535, Application of Optical Instrumentation in Medicine XIII, (11 June 1985); doi: 10.1117/12.947264
Show Author Affiliations
Nola M. Hylton, University of California (United States)
Douglas A. Ortendahl, University of California (United States)
Leon Kaufman, University of California (United States)
Lawrence Crooks, University of California (United States)

Published in SPIE Proceedings Vol. 0535:
Application of Optical Instrumentation in Medicine XIII
Samuel J. Dwyer; Roger H. Schneider, Editor(s)

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