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Improvements in MR imaging of solids through gradient waveform optimization
Author(s) -
Marco L.H. Gruwel,
Peter Latta,
Bogusław Tomanek
Publication year - 2011
Publication title -
canadian journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.323
H-Index - 68
eISSN - 1480-3291
pISSN - 0008-4042
DOI - 10.1139/v11-022
Subject(s) - waveform , magnetic resonance imaging , chemistry , signal to noise ratio (imaging) , nuclear magnetic resonance , line (geometry) , resonance (particle physics) , noise (video) , resolution (logic) , range (aeronautics) , computational physics , physics , optics , computer science , image (mathematics) , materials science , artificial intelligence , atomic physics , medicine , geometry , mathematics , quantum mechanics , voltage , composite material , radiology
Magnetic resonance imaging (MRI) is known to provide a useful approach for the exploration of the chemistry and dynamics of a wide range of soft condensed materials. However, its application to solids has been limited to those materials with relatively narrow resonances. The time needed to obtain an image of a solid with a given resolution and signal-to-noise ratio (SNR) is directly proportional to the line width of the resonance. For MRI to become practical for the imaging of solids it will have to rely on the development and use of MR sequences that avoid the issues raised by line broadening of the resonance. In this paper we review the latest contributions towards MR imaging of solids from our laboratory, in particular, applications using optimized gradient waveforms. Acoustic noise reduction and SNR improvement obtained with modifications of the standard single-point imaging sequence are presented and discussed using examples.Peer reviewed: YesNRC publication: Ye

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