Paper
11 June 1985 Optimization Techniques In Magnetic Resonance Imaging
Nola M. Hylton, Douglas A. Ortendahl, Leon Kaufman, Lawrence Crooks
Author Affiliations +
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.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nola M. Hylton, Douglas A. Ortendahl, Leon Kaufman, and Lawrence Crooks "Optimization Techniques In Magnetic Resonance Imaging", Proc. SPIE 0535, Application of Optical Instrumentation in Medicine XIII, (11 June 1985); https://doi.org/10.1117/12.947264
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KEYWORDS
Tissues

Thallium

Interference (communication)

Magnetic resonance imaging

Magnetism

Data modeling

Tumors

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