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Identifying particles in industrial systems using MRI susceptibility artefacts
Author(s) -
Robson Philip,
Hall Laurie
Publication year - 2005
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.10408
Subject(s) - magnetic resonance imaging , relevance (law) , computer science , magnetic nanoparticles , nuclear magnetic resonance , artificial intelligence , materials science , physics , nanotechnology , radiology , nanoparticle , medicine , political science , law
The potential uses of magnetic susceptibility effects in magnetic resonance imaging (MRI) to identify particles in industrial systems is explored. It is both a practical demonstration, and a review of the literature for experts in both MRI and in industry. The theory of magnetic susceptibility artifacts in MRI is briefly illustrated. Experimental imaging of simplified systems that have relevance to real world processes are explored, and features of those images are related to properties of the system. Data are presented for different sized objects with identical dipole moments, for sub‐pixel sized particles for which their potential use as magnetic labels are shown, and, finally, for agglomerations and powders of particles. Given the unique ability of MRI to probe complex, opaque systems, this qualitative interpretation of MRI images, demonstrates that MRI is an important technique for the investigation of material distributions within industrial systems. © 2005 American Institute of Chemical Engineers AIChE J, 2005