Literature DB >> 18727085

Quantitative magnetization transfer imaging using balanced SSFP.

M Gloor1, K Scheffler, O Bieri.   

Abstract

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.

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Year:  2008        PMID: 18727085     DOI: 10.1002/mrm.21705

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  55 in total

1.  Removal of cerebrospinal fluid partial volume effects in quantitative magnetization transfer imaging using a three-pool model with nonexchanging water component.

Authors:  Pouria Mossahebi; Andrew L Alexander; Aaron S Field; Alexey A Samsonov
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

2.  Limitations of rapid myelin water quantification using 3D bSSFP.

Authors:  C Lenz; M Klarhöfer; K Scheffler
Journal:  MAGMA       Date:  2010-04-28       Impact factor: 2.310

3.  Magnetization transfer in magnetic resonance fingerprinting.

Authors:  Tom Hilbert; Ding Xia; Kai Tobias Block; Zidan Yu; Riccardo Lattanzi; Daniel K Sodickson; Tobias Kober; Martijn A Cloos
Journal:  Magn Reson Med       Date:  2019-11-25       Impact factor: 4.668

4.  Balanced Steady-State Free Precession Techniques Improve Detection of Residual Germ Cell Tumor for Treatment Planning.

Authors:  W A Mehan; K Buch; M F Brasz; F F J Simonis; S MacDonald; S Rincon; J E Kirsch; P Caruso
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-30       Impact factor: 3.825

Review 5.  Inferring brain tissue composition and microstructure via MR relaxometry.

Authors:  Mark D Does
Journal:  Neuroimage       Date:  2018-01-02       Impact factor: 6.556

6.  Simultaneous multislice cardiac magnetic resonance fingerprinting using low rank reconstruction.

Authors:  Jesse I Hamilton; Yun Jiang; Dan Ma; Yong Chen; Wei-Ching Lo; Mark Griswold; Nicole Seiberlich
Journal:  NMR Biomed       Date:  2018-12-18       Impact factor: 4.044

7.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Authors:  Richard D Dortch; Ke Li; Daniel F Gochberg; E Brian Welch; Adrienne N Dula; Ashish A Tamhane; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2011-05-23       Impact factor: 4.668

8.  Magnetic resonance fingerprinting with quadratic RF phase for measurement of T2 * simultaneously with δf , T1 , and T2.

Authors:  Charlie Yi Wang; Simone Coppo; Bhairav Bipin Mehta; Nicole Seiberlich; Xin Yu; Mark Alan Griswold
Journal:  Magn Reson Med       Date:  2018-10-30       Impact factor: 4.668

9.  Analysis and correction of biases in cross-relaxation MRI due to biexponential longitudinal relaxation.

Authors:  Pouria Mossahebi; Vasily L Yarnykh; Alexey Samsonov
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

10.  The radial diffusivity and magnetization transfer pool size ratio are sensitive markers for demyelination in a rat model of type III multiple sclerosis (MS) lesions.

Authors:  Vaibhav A Janve; Zhongliang Zu; Song-Yi Yao; Ke Li; Fang Lin Zhang; Kevin J Wilson; Xiawei Ou; Mark D Does; Sriram Subramaniam; Daniel F Gochberg
Journal:  Neuroimage       Date:  2013-02-26       Impact factor: 6.556

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