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Quantitative magnetization transfer imaging using balanced SSFP
Author(s) -
Gloor M.,
Scheffler K.,
Bieri O.
Publication year - 2008
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.21705
Subject(s) - steady state free precession imaging , signal (programming language) , flip angle , magnetization , magnetization transfer , relaxation (psychology) , isotropy , physics , noise (video) , steady state (chemistry) , nuclear magnetic resonance , computer science , statistical physics , magnetic resonance imaging , magnetic field , chemistry , optics , artificial intelligence , neuroscience , medicine , quantum mechanics , biology , image (mathematics) , radiology , programming language
It is generally accepted that signal formation in balanced steady‐state free precession (bSSFP) is a simple function of relaxation times and flip angle only. This can be confirmed for fluids, but for more complex substances, magnetization transfer (MT) can lead to a considerable loss of steady‐state signal. Thus, especially in tissues, the analytical description of bSSFP requires a revision to fully take observed effects into account. In the first part of this work, an extended bSSFP signal equation is derived based on a binary spin‐bath model. Based on this new model of bSSFP signal formation, quantitative MT parameters such as the fractional pool size, corresponding magnetization exchange rates, and relaxation times can be explored. In the second part of this work, model parameters are derived in normal appearing human brain. Factors that may influence the quality of the model, such as B 1 field inhomogeneities or off‐resonances, are discussed. Overall, good correspondence between parameters derived from two‐pool bSSFP and common quantitative MT models is observed. Short repetition times in combination with high signal‐to‐noise ratios make bSSFP an ideal candidate for the acquisition of high resolution isotropic quantitative MT maps, as for the human brain, within clinically feasible acquisition times. Magn Reson Med 60:691–700, 2008. © 2008 Wiley‐Liss, Inc.