Premium
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom