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Brain investigations of rodent disease models by chemical exchange saturation transfer at 21.1 T
Author(s) -
Roussel Tangi,
Rosenberg Jens T.,
Grant Samuel C.,
Frydman Lucio
Publication year - 2018
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.3995
Subject(s) - magnetization transfer , saturation (graph theory) , nuclear magnetic resonance , magnetization , chemistry , magnetic resonance imaging , chemical shift , magnetic field , physics , medicine , radiology , mathematics , combinatorics , quantum mechanics
This study explores opportunities opened up by ultrahigh fields for in vivo saturation transfer brain magnetic resonance imaging experiments. Fast spin‐echo images weighted by chemical exchange saturation transfer (CEST) effects were collected on Sprague–Dawley rats at 21.1 T, focusing on two neurological models. One involved a middle cerebral artery occlusion emulating ischemic stroke; the other involved xenografted glioma cells that were followed over the course of several days as they developed into brain tumors. A remarkably strong saturation‐derived contrast was observed for the growing tumors when calculating magnetization transfer ratios at c . 3.8 ppm. This large contrast originated partially from an increase in the contribution of the amide CEST effect, but mostly from strong decreases in the Overhauser and magnetization transfer contributions to the upfield region, whose differential attenuations could be clearly discerned thanks to the ultrahigh field. The high spectral separation arising at 21.1 T also revealed numerous CEST signals usually overlapping at lower fields. Ischemic lesions were also investigated but, remarkably, magnetization and saturation transfer contrasts were nearly absent when computing transfer asymmetries using either high or low saturation power schemes. These behaviors were consistently observed at 24 hours post‐occlusion, regardless of the data processing approach assayed. Considerations related to how various parameters defining these experiments depend on the magnetic field, primarily chemical shifts and T 1 values, are discussed.