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Signal to Noise in Derived NMR Images
Author(s) -
Ortendahl Douglas A.,
Hylton Nola M.,
Kaufman Leon,
Crooks Lawrence E.
Publication year - 1984
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910010304
Subject(s) - nuclear magnetic resonance , noise (video) , relaxation (psychology) , signal (programming language) , intensity (physics) , physics , t2 relaxation , hydrogen , spin–spin relaxation , image (mathematics) , spin–lattice relaxation , computer science , artificial intelligence , magnetic resonance imaging , optics , psychology , medicine , quantum mechanics , radiology , neuroscience , programming language , nuclear quadrupole resonance
The NMR image is dependent on multiple tissue parameters: hydrogen density, relaxation times T 1 and T 2 , and flow. From the acquired intensity images, T 1 , T 2 , and hydrogen images may be produced. The signal/noise of these derived images is critically dependent on the choice of acquisition parameters. Using the calculated T 1 , T 2 , and hydrogen images, intensity images may be calculated at arbitrary values of T E and T R , some of which (for example, short T E or T R ) may be physically unacquirable.